Preamble
The Department of Statistics offers degree programmes in Bachelor of Science (B.Sc.), Postgraduate Diploma, Masters and Doctor of Philosophy degrees in Statistics.
The Department of Statistics was an arm of the then Mathematical Sciences Department established in 1988 at the inception of FUNAAB. In 2005/2006 session, the Department of Statistics evolved to become a unique academic division in the production of highly trained graduates and postgraduates in Statistics.
The Department of Statistics was established in 2005 from erstwhile Department of Mathematical Sciences with the aim of providing statistical education in the University. The Department is involved in the teaching of Statistics in all other Colleges of the University of Agriculture, Abeokuta.
9.5.2 Philosophy and Objectives
Statistics is a subject with a broad spectrum of application in Physical and Life Sciences, Engineering, Education and Social Sciences. The programme is intricately designed to give students opportunity to obtain broad knowledge in the theory and application of Statistics. The specific objectives are:
(i) To train professional Statisticians with required knowledge and experience in problem solving in all sectors of the economy.
(ii) To train a strong disciplinary core of Statisticians to pursue the study of scientific and technological problems by using statistical techniques and to undertake research in various branches of statistics that are relevant to national planning.
(iii) To train graduates with wide horizon in statistics that will be relevant in research and academic development.
(iv) To provide instructions in Statistics to candidates in courses of study in other departments of the University.
(v) To train graduates that will be job creators through consultancy services in the area of statistical analysis.
(vi) To train students from related diverse disciplines in the application of statistical methods in solving real life problems in their various areas of specialization.
(vii)To enable graduate students of statistics make good their deficiencies in the understanding of statistical concepts and the application of statistical methods.
(viii) To prepare graduate students who are able to attain a certain standard to pursue graduate programmes leading to the degree of M.Sc. in Statistics or in Applied Statistics and Research or in Biometrics.
9.5.3 Departmental Postgraduate Programme
Presently, the Department runs the following Postgraduate Programmes:
Postgraduate Diploma in Statistics
Postgraduate Diploma in Planning Research and Statistics
Postgraduate Diploma in Statistical Quality Control and Management
In addition to the programme listed above, the Department runs the following M.Sc. and PhD programmes:
Master of Science in Statistics
Master of Science in Applied Statistics
Master of Science in Biometry
Doctor of Philosophy in Statistics
Doctor of Philosophy in Applied Statistics
Doctor of Philosophy in Biometry
Eligibility, Duration and Condition for Award
9.5.4 Admission Requirements and Regulations
Postgraduate Diploma
Postgraduate Diploma in Statistics/Planning Research and Statistics/Statistical Quality Control and Management
The PGD Programmes in Statistics is open to B.Sc. or HND graduates or its equivalent in Mathematics, Statistics, Economics and related fields from recognized Universities and Polytechnics.
Candidates admitted to the programme shall be required to register for a minimum of 24 credit units of course work each semester.
Candidates may be required to take some remedial undergraduate courses. No credit shall be earned.
The programme has a minimum of one calendar year for Fulltime students and/ or one and half for Part time students.
To qualify to proceed to the M.Sc. programme, a candidate must obtain a minimum average grade of 70%/60% for HND/B.Sc. holders in the PGD programme.
Masters of Science in Statistics/Applied Statistics and Research/Biometry
Graduates with at least second class lower honours in Statistics with a minimum CGPA of 3.0 is qualify for admission to the M.Sc. in Statistics/ Applied Statistics and Research/Biometry programme provided the minimum entry requirements into B.Sc. Statistics programme are satisfied. Admission of other science graduates (second class upper minimum) is possible but may be required to audit additional undergraduate courses during the first and second semesters. Such applicants will usually spend extra semesters beyond the normal minimum course duration of two academic sessions. Also a candidate can undergo the Postgraduate Diploma in Statistics with a minimum cumulative weighted average of 60% before proceeding on the Masters in Statistics/Applied Statistics and Research/Biometry programme.
Generally, the programme requires registration and passes in minimum of 30 credits in the first year. The supervisory team shall recommend to the Departmental Postgraduate Board, list of courses to be offered by candidates depending on candidate’s background and special interests and they may be required to audit some undergraduate course(s). Second year is devoted to a minimum of 4 credit units of reading courses and 6 credit units of thesis writing and defense. Candidates who complete the course with an average of 50% or higher overall will be awarded the Masters Degree after a satisfactory defense of their thesis.
Ph.D. PROGRAMME
Admission into the Doctoral programmes in Statistics, Applied Statistics and Biometry will require a Master of Science in Statistics, Applied Statistics and Biometry respectively. Candidates from Institutions that did not obtain their Master by course work and thesis will normally be admitted for M.Sc./PhD in the first instance. Such candidate will be required to take a conversion examination before being upgraded to Ph.D. status. Any prescribed courses must be passed with a minimum of 60%.
9.5.5 Condition for Award
The degree of Master of Science in Statistics or Applied Statistics or Biometry is awarded on the basis of course work and an ungraded research thesis. A minimum of 50% cumulative weighted average in course work and a successful oral examination is required for the award of M.Sc. Statistics, M.Sc. Applied Statistics and M.Sc. Biometry. The examination of the M.Sc. dissertation shall follow the same guidelines as for Ph.D. Studies in Federal University of Agriculture, Abeokuta.
9.5.6 Courses Outlines
A. Postgraduate Diploma in Statistics
First Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 701 
Probability Theory 
PRTHEORY 
3 
STS 703 
Design Analysis of Experiments 
DESAMENT 
3 
STS 705 
Econometric Methods 
ECONOMET 
3 
STS 709 
Stochastic Processes 
STOCPROS 
3 
STS 711 
Time Series Analysis 
TIMESANS 
3 
STS 713 
Distribution Theory 
DISTHORY 
3 

Electives 

6 
Electives 

STS 710 
Operations Research 
OPERESEA 
3 
STS 723 
Applied Regression Analysis 
APREANAL 
3 
STS 725 
Theory of Games 
THEORGAM 
3 
STS 744 
Statistical Quality Control 
STATQUAT 
3 
Second Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 702 
Statistical Inference 
STATINFE 
3 
STS 704 
Sampling Theory and Methods 
SAMTMETH 
3 
STS 708 
Multivariate Analysis 
MUTINALY 
3 
STS 712 
Statistical Computing 
STATCOMP 
3 
STS 799 
Project 
PROJECT 
6 

Electives 

6 
Electives 

STS 706 
Biometric Methods 
BIOMETHS 
3 
STS 722 
Demography 
DEMOGRAP 
3 
STS 726 
Decision Theory 
DECTHORY 
3 
STS 728 
Nonparametric 
NONPARAM 
3 
B. Postgraduate Diploma in Planning, Research and Statistics
First Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 731 
Applied Statistics 
APLISTAT 
3 

Research Methods 

3 
STS 703 
Design Analysis of Experiments 
DESAMENT 
3 
STS 741 
Total Quality Management 
TOQUMANG 
3 
AEM 810 
Project Appraisal and Planning 
PRAPPLAN 
3 
STS 799 
Project 
PROJECT 
6 

Electives 

3 
Electives 

STS 705 
Econometric Methods 
ECONOMET 
3 
Including selections from other Postgraduate Diploma Programmes
Second Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 702 
Statistical Inference 
STATINFE 
3 
STS 712 
Statistical Computing 
STATCOMP 
3 
STS 732 
Project Management 
PROMANAG 
3 
STS 734 
Official Statistics 
OFICSTAT 
3 
STS 746 
Organization Theory & Behavior 
ORGTHEBE 
3 

Electives 

9 
Electives 

STS 706 
Biometric Methods 
BIOMETHS 
3 
STS 708 
Multivariate Analysis 
MUTINALY 
3 
STS 710 
Operations Research 
OPERESEA 
3 
AEM 
Agric. Development and Policy 

3 
C. Postgraduate Diploma in Quality Management
First Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 741 
Total Quality Management 
TOQUMANG 
3 
STS 745 
Reliability 
RELIABLE 
3 
STS 703 
Design Analysis of Experiments 
DESAMENT 
3 

Research Methods 

3 
STS 799 
Project 
PROJECT 
6 

Electives 

6 
Electives 

STS 705 
Econometric Methods 
ECONOMET 
3 
STS 713 
Distribution Theory 
DISTHORY 
3 
STS 725 
Theory of Games 
THEORGAM 
3 
Including selections from other Postgraduate Diploma Programme
Second Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 702 
Statistical Inference 
STATINFE 
3 
STS 710 
Operations Research 
OPERESEA 
3 
STS 712 
Statistical Computing 
STATCOMP 
3 
STS 726 
Decision Theory 
DECTHORY 
3 
STS 742 
Standardization Processes 
STANDPRO 
3 
STS 744 
Statistical Quality Control 
STATQUAT 
3 

Electives 

6 
Electives 

STS 708 
Multivariate Analysis 
MUTINALY 
3 
STS 728 
Nonparametric 
NONPARAM 
3 
STS 746 
Organization Theory & Behavior 
ORGTHEBE 
3 
D MASTER DEGREES
OPTION 1: STATISTICS
First Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 801 
Advanced Probability Theory 
ADVPRORY 
3 
STS 803 
Advanced Sampling Techniques 
ADSAMTEC 
3 
STS 805 
Advanced Stochastic Processes 
ADSTOPRO 
3 
STS 809 
Advanced Multivariate Analysis 
ADMULTAN 
3 
STS 811 
Design and Analysis of Experiment 
DEANMENT 
3 

Electives 

3 
Electives 

STS 807 
Categorical Data Analysis 
CATDANLY 
3 
STS 815 
Quality Control and Practice 
QCPRACTI 
3 
STS 821 
Environmental Statistics 
ENVISTAT 
3 
STS 825 
Advanced Demography 
ADVDEMOG 
3 
STS 827 
ICT and Research Methodology 
ICTREMET 
2 
STS 829 
Advanced Statistical Theory 
ADVSTATY 
3 
STS 831 
Operation Research 
OPERESEA 
3 
Second Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 802 
Statistical Inference 
STATINFE 
3 
STS 804 
Advanced Distribution Theory 
ADISTORY 
3 
STS 806 
Time Series Analysis 
TISEANAL 
3 
STS 812 
Advanced NonParametric Methods 
ADNPAMET 
3 
STS 824 
Statistical Computing and Data Analysis 
STATCODA 
3 
STS 832 
Advanced Regression Analysis 
ADREANAL 
3 

Electives 

3 
Electives 

STS 814 
Sequential Analysis 
SEQANALY 
3 
STS 816 
Econometrics 
ECONOMET 
3 
STS 818 
Probability Theory II 
PROTHEII 
3 
STS 820 
Statistical Genetics 
STATGENE 
3 
STS 822 
Biostatistics 
BIOSTATS 
3 
STS 834 
Longitudinal and Survival Analysis 
LONSURAN 
3 
STS 836 
Bayesian Inference 
BAYINFER 
3 
Third Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 840 
Statistical Readings 
STATREAD 
4 
STS 897 
Seminar I 
SEMINARI 
1 
STS 898 
Seminar II 
SEMINAII 
1 
Fourth Semester
Course Code 
Course Title 
Abbreviation 
Unit 
STS 899 
Dissertation 
DISSERTN 
6 
OPTION 2 APPLIED STATISTICS
First Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 801 
Advanced Probability Theory 
ADVPRORY 
3 
STS 803 
Advanced Sampling Techniques 
ADSAMTEC 
3 
STS 805 
Advanced Stochastic Processes 
ADSTOPRO 
3 
STS 809 
Advanced Multivariate Analysis 
ADMULTAN 
3 
STS 811 
Design and Analysis of Experiment 
DEANMENT 
3 

Electives 

3 
Electives 



STS 807 
Categorical Data Analysis 
CATDANLY 
3 
STS 815 
Quality Control and Practice 
QCPRACTI 
3 
STS 821 
Environmental Statistics 
ENVISTAT 
3 
STS 825 
Advanced Demography 
ADVDEMOG 
3 
STS 827 
ICT and Research Methodology 
ICTREMET 
2 
STS 829 
Advanced Statistical Theory 
ADVSTATY 
3 
STS 831 
Operation Research 
OPERESEA 
3 
Second Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 802 
Statistical Inference 
STATINFE 
3 
STS 812 
Advanced NonParametric Methods 
ADNPAMET 
3 
STS 813 
Bayesian Inference 
BAYEINFE 
3 
STS 819 
Longitudinal and Survival Analysis 
LONSURAN 
3 
STS 820 
Statistical Genetics 
STATGENE 
3 
STS 824 
Statistical Computing and Data Analysis 
STATCODA 
3 

Electives 

3 
Electives 

STS 804 
Advanced Distribution Theory 
ADISTORY 
3 
STS 806 
Time Series Analysis 
TISEANAL 
3 
STS 814 
Sequential Analysis 
SEQANALY 
3 
STS 816 
Econometrics 
ECONOMET 
3 
STS 818 
Probability Theory II 
PROTHEII 
3 
STS 822 
Biostatistics 
BIOSTATS 
3 
Third Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 840 
Statistical Readings 
STATREAD 
4 
STS 897 
Seminar I 
SEMINARI 
1 
STS 898 
Seminar II 
SEMINAII 
1 
Fourth Semester
Course Code 
Course Title 
Abbreviation 
Unit 
STS 899 
Dissertation 
DISSERTN 
6 
OPTION 3 BIOMETRY
First Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 801 
Advanced Probability Theory 
ADVPRORY 
3 
STS 803 
Advanced Sampling Techniques 
ADSAMTEC 
3 
STS 805 
Advanced Stochastic Processes 
ADSTOPRO 
3 
STS 809 
Advanced Multivariate Analysis 
ADMULTAN 
3 
STS 811 
Design and Analysis of Experiment 
DEANMENT 
3 

Electives 

3 
Electives 



STS 807 
Categorical Data Analysis 
CATDANLY 
3 
STS 815 
Quality Control and Practice 
QCPRACTI 
3 
STS 821 
Environmental Statistics 
ENVISTAT 
3 
STS 825 
Advanced Demography 
ADVDEMOG 
3 
STS 827 
ICT and Research Methodology 
ICTREMET 
2 
STS 829 
Advanced Statistical Theory 
ADVSTATY 
3 
STS 831 
Operation Research 
OPERESEA 
3 
Second Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 802 
Statistical Inference 
STATINFE 
3 
STS 806 
Time Series Analysis 
TISEANAL 
3 
STS 812 
Advanced NonParametric Methods 
ADNPAMET 
3 
STS 819 
Longitudinal and Survival Analysis 
LONSURAN 
3 
STS 820 
Statistical Genetics 
STATGENE 
3 
STS 824 
Statistical Computing and Data Analysis 
STATCODA 
3 

Electives 

3 
Electives 

STS 804 
Advanced Distribution Theory 
ADISTORY 
3 
STS 813 
Bayesian Inference 
BAYEINFE 
3 
STS 814 
Sequential Analysis 
SEQANALY 
3 
STS 816 
Econometrics 
ECONOMET 
3 
STS 818 
Probability Theory II 
PROTHEII 
3 
STS 822 
Biostatistics 
BIOSTATS 
3 
Third Semester
Course Code 
Course Title 
Abbreviation 
Unit 
Compulsory Courses 

STS 840 
Statistical Readings 
STATREAD 
4 
STS 897 
Seminar I 
SEMINARI 
1 
STS 898 
Seminar II 
SEMINAII 
1 
Fourth Semester
Course Code 
Course Title 
Abbreviation 
Unit 
STS 899 
Dissertation 
DISSERTN 
6 
9.5.7 Summary of Course Requirements
Minimum Credit Hours (Compulsory Courses – C) 39 Units
Other Elective (Minimum) 6 Units
Thesis 6 Units
———————–
51 Units
The tables above should guide choice of courses. Candidates must consult Graduate School or website for Elective Courses on offer for the year. Candidates are encouraged to do as many electives (including audits) as possible.
9.5.8 Programme Evaluation
Students performance will be evaluated on a basis of course evaluation as prescribed by the Board of Graduate Studies.
9.5.9 Grading System
A = 70 – 100
B = 60 – 69
C = 50 – 59
F = Below 50%
(NB: Pass mark is C and above. F is fail)
9.5.10 Course Synopsis
POST GRADUATE DIPLOMA PROGRAMMES
STS 701 – Probability and Distribution Theory (3 units)
Sample spaces, algebra of sets and events, axiomatic definition of probability. Conditional probability and independence. Bayes theorem. Random variables and their distributions. Moments, cummulant and probability generating functions. Some special distributions: marginal and conditional distributions. Distribution of functions of random variables and some derived distributions. Limit Theorems and limiting distributions. Elememts of stochastic processes.
STS 702 – Methods of Statistical Inference and Decision (3 units)
Point and interval estimation method of estimation – maximum likelihood methods, least square methods. Criteria and properties of estimates, unbiasedness, efficiency etc. hypothesis testing: Neyman Pearson Lemmas, likelihood ratio and sequential tests, power functions. Correlation and regression analysis. Analysis of variance and Multivariate analysis.
STS 703 – Design and Analysis of Experiments (3 units)
Analysis of standard designs: Complete and incomplete blocks designs. Latin square designs, nested and other crossed classification designs. Factorial experiment: confounding and fractional replication. Response surface design.
STS 705 – Econometric Methods (3 units)
Linear and general economic model and multiple regression of economic situations. Single equation and nonlinear models. Simultaneous equations and economic models. Time series model. Application of models in production, consumption and other functions and models of the national economy.
STS 708 – Multivariate Analysis (3 units)
Multivariate normal and related distributions and tests based on them; principal components, discriminant, factor, cluster analysis and other multivariate techniques.
STS 710 – Operations Research (3 units)
Operations research problems, models and criteria. The practice and context of Operations Research. Introduction to stock control, scheduling, queuing theory, replacement, critical path analysis, dynamic programming and simulation. Theory of games. Decision theory. Replacement critical path analysis. Dynamic programming. Inventory control. Simulations.
STS 731 – Applied Statistics (3 units)
Fundamental statistical concepts: probability and random variables, elementary probability distribution, binomial, Poisson and normal. Regression and correlation analysis, point estimation, confidence intervals for means and variance; statistical tests and hypotheses.
Control charts for within and between batch variability; industrial experimentation; experimental errors, experimental design and analysis – fixed and random effects for both completely randomized and randomized blocks, Latin Squares, factorial and spilt – plot designs. Nonparametric tests.
STS 732 – Project Management (3 units)
Principles of organization of project management, control systems and techniques, project monitoring and reporting systems, use and application of Linear programming, PERT, CPM and other scheduling techniques.
STS 733 – Research Methods (3 units)
Survey design: basic scientific principles of social research; concepts and hypothesis formulation and testing. Organization of research; construction of questionaire, observation and interview. Data processing including editing, coding, verification, tabulation and analysis of data, organization of report writing. Sampling: Role of sampling in data collection. Probability sampling. Simple random sampling and its properties; Stratified, Multistage, Systematic sampling, Cluster, etc. Examples of Demographic sample surveys in Africa. Measure of sampling errors.
STS 734 – Official Statistical (3 units)
Detailed study of sources and nature of official statistics like economic, social, population, education, etc. Problems in the collection and analysis of these statistics. Statistical organizations.
STS 741 Total Quality Management (3 units)
The Japanese Quality Movement. Quality Control Practice in Japan. American and British recent Quality movements. ManagementBy Objectives – its shortcomings including problems of performance appraisal. The Ishkawa tools. Quality in Administration. Complexity and real work measurements. Importance of quality management to company survival.
Cost of Quality, Profit from Quality Management, The Ishikawa seven tools. Quality circle activities.
STS 742 – Standardization Processes (3 units)
Company standardization. Purpose and effects of company standardization. Fundamental concepts of company standardization. Methods of company standardization/ methods of arranging company standards.
Main company standards and their management. Promotion of quality control and rules thereof. Standard organizations. Relevance of standard organizations to national development. Procedures for setting standards, company standards, national standards and international standards. Certification. American standards, British standards, Indian standards. Case studies.
STS 744 – Statistical Quality Control (3 units)
Objectives of Statistical Quality, Control specifications and tolerance limits, control charts. Acceptance Sampling. Use of various military standards. Dodge Rooming systems for lotbylot Acceptance Sampling, AQL/AOQL criteria for Acceptance Sampling. One Stage, Two Stage, Multi Stage sampling. Inspections Plan. Case studies.
STS 745 – Reliability (3 units)
Definitions and measurement of reliability. Customers requirements. Reliability and cost. Uses of reliability in Quality control jobs. Establishing the product reliability requirement. Reliability programmes failure mode, failure effects and critical analysis. Physics of failure. Maintainability and evaluation of reliability plans. Reliability growth.
STS 746 – Organizational Theory and Behaviour (3 units)
A survey of the major theoretical approaches to the study of organization. Critical review of the contribution of the major organization/administrative theories. An examination of the analysis of organizations as systems with emphasis on the assessment of their operational effectiveness and efficiency. A discussion of the relevance of organization/administrative theories to public and private sectors, business administration with special reference to Nigeria and African experience.
STS 799 – Projects (6 units)
MASTER OF STATISTICS PROGRAMMES
Threecredit course units imply 3 hours of lectures or directed studies or 2 hours of lectures and 3 hours of tutorial/practical assignments per week.
STS 801 Advanced Probability Theory (3 Units)
Random variables. Expectation. Independence. Convergence concepts. Law of large numbers (weak and strong law of large numbers). Characteristic functions (cummulants). Central limit theorem. Conditioning (Markov chain, Martingales).
Probability space and probability measures. Distribution functions of random variables and random vectors. Independence and conditioning; inverse formula.
STS 802 Statistical Inference (3 Units)
Formation of the principles of statistical decisions as an aspect of the theory of games. Bayes. Minimax and admissible decision rules. The main theorems of statistical decision theory invariants and equivalent decision rules. Methods of solving for minimax, admissible minimax and invariant and equivalent roles. Particular applications to location parameter problems.
Decision theoretic approach to the theory of hypothesis testing. Best tests. NeymanPearson and the generalized NeymanPearson Lemma. Uniformly Most Powerful Test, unbiased, invariant and locally most powerful tests, invariant and minimax test. Maximum likelihood estimation and asymptotic theory.
STS 803 Advanced Sampling Techniques (3 Units)
Concept in sample survey. Techniques and problems in frame construction and maintenance. Basic sampling designs simple random sampling, stratified random sampling, systematic sampling, sampling with probability proportional to size with and without replacement. Cluster sampling design simple cluster sampling, multistage cluster sampling, double sampling or multi phase sampling. Complete samples. Self weigting designs. Sampling on several occasions or successive sampling, efects and control of non sampling errors. Application to specialized surveys National Integerated Survey of Households (NISH) of the NBS.
STS 804 Advanced Distribution Theory (3 Units)
Univariate and bivariate cases including compound, generalized and modified distributions. Negative Binomial, Multinomial. Multivariate Hypergeometric. Multivariate logarithmic series. Multivariate Neyman, Type A, Dirichlet (B) Multivariate Neyman, Type A, Dirichlet (B) Compound Negative Multinomial, Weibull and noncentral distributions, some continuous distributions, order statistics, exponential family of distributions. Unbiased estimates. Asymptotic properties of sampling distribution. Fisher’s lemma on degrees of freedom. Exact sampling distributions. The general variance. Regression coefficients. Partial and multiple correction coefficient. Half Normal, Non central Distribution, Lognormal, etc.
STS 805 Advanced Stochastic Processes (3 Units)
Random walk. Gambling system and stopping time and rules. Markov processes and chain. Renewal theorem and local time stochastic processes and Brownian motion. Processes with independent increment. Martingales. Stochastic order relations. Queueing processes and applications. General arrival and general services queues. Heavy traffic approximation. Approximation for G/Gl queues, delay cycle, generalized busy periods, waiting time distribution, computer time sharing and multiaccess systems. Computer communication networks. Matrix geometric techniques.
STS 806 Time Series Analysis (3 Units)
Theory of stochastic models and their forecasting. Model building, identification, estimation and diagnostic checking. Analysis of stationary and nonstationary data. Cointegration and error correction techniques.
Discrete time series trends. The classical modelARMA, RNA and ARIMA. Stationery processes. Harmonic analysis and estimation linear models . Estimation of continuous spectra.
STS 809 Advanced Multivariate Analysis (3 Units)
Multivariate analysis of variance. Multivariate normal distribution and its properties. Wishart and Hotellings distributions. Application of estimation of parameters and tests on means and convamtrix. Multiple regression analysis. Principal Component, Discriminant, cluster and factor analyses. Canonical Correlation and Multidimensional Scaling. Central distributions of roots of random matrices (i) Wishart one sample and two samples cases (ii) MANOVA and (iii) Cannonical correlation Problems, roots as maximal invariants. Noncentral distribution of roots. Principal component and factor analysis problems. Categorized data.
STS 811 Design and Analysis of Experiments (3 Units)
Basic ideas and assumptions randomization, Design of factorial experiments. Randomized blocks and Latin squares. Balanced incomplete block designs. Confounding and fractional replication in 2m theory of optimum design.
Random effects, components of variance mixed model – maximum likelihood, restricted maximum likelihood, BLUE and BLUP. Incomplete block structure BIBD Alpha design, Construction of optimal and nearoptimal designs; Factorial and 2^{n} factorial structure, confounding and fractional replication. Concept of design resolution, surface methodology and model building applications, Model building exercises.
STS 812 Advanced Nonparametric Methods (3 Units)
Statistical procedures based on ranks, order statistics, signs, permutation and runs. Testing for randomness, symmetry and independence. Invariance and sufficiency reductions. Treatment of ties, Asymptotics, Ustatistics, ChernoffSavage theorem. Efficient of rank test by Pitman’s and Bahadur’s.
STS 813 Bayesian Inference (3 Units)
Sampling theory and its critique, subjective probability, likelihood principles, Bayes theorem, Bayesian analysis of Normal theory inference problems, the BehrensFisher problem, assessment of model assumptions, robustness of inference, analysis of variance, estimation of variance components, empirical Bayes, some aspects of multivariate problems, sequential nature of Bayesian inference, prior and posterior distributions of parameters in binomial, poisson, exponential and normal populations, comparison of two normal distributions, predictive distributions, decision theory, utility, risk aversion, extensive form of analysis, twoaction problems, point estimation, best population problems, economics of sampling.
STS 814 Sequential Analysis (3 Units)
The Ward sequential probability ratio tests and various generalizations including tests of composite hypothesis. Nonparametric sequential estimation and confidence intervals. Bayes sequential procedures. Stochastic approximations. Optimal stopping rules.
STS 815 Quality control and practice (3 Units)
Analysis and control of variations in a production process OC of a control chart. Control charts for attributes and variables. Cumulative sum control charts. Other control charts. Methods of controlling several related characteristics, process capability analysis. Design of control charts. Specification and tolerance.
STS 816 Econometrics (3 Units)
OLS, GaussMarkov theorem, MLE. Specification and misspecification test. Predictive and nonpredictive tests, Tests of hypothesis for linear model. The likelihood ration, wald and language multiplier tests; Multicolinearity. Specification bias. GLS. Dummy variable and seasonal variations. Inferences based on asymptotic distribution theory.
STS 819 Longitudinal and Survival Analysis (3 Units)
Repeated measures design and analysis. HF and GG adjustments of F statistic. Profile, polynomial, mean and other transformations; Applications in ecology and health sciences. Introductory survival analysis and applications in veterinary/medical research. Practical applications with statistical software.
STS 820 Statistical Genetics (3 Units)
Review of selected topics in statistical genetics; Ethics in the use of Statistics in Genetics, Forensics, and Pharmacogenetics. In relation to plants and animals. Bioassay techniques, designs and analysis of biological investigations.
STS 821 Environmental Statistics (2 Units)
Scope, nature and sources of environmental statistics. Assessment of environmental quality and measurement of air and water pollution, sampling methods in natural and applied sciences. Environmental Impact Assessment (EIA). Requirement for environmental reporting system. Characteristics and uses of the United Nations framework for the development of environmental statistics. Capacity development for environmental reporting system. Environmental Standards.
STS 822 Biostatistics (2 Units)
Advanced regression, bioassays, probit and logit models, growth curves, logistic regression, potency/efficacy determination. Theory of clinical trials, Ethical issues in medical data collection.
STS 823 Categorical Data Analysis (3 Units)
Probability mass function for 2×2 tables measures of association for 2×2 tables and general cxc tables. Probability mass functions for rxc tables. Goodness of fit tests. Square tables and their applications structural models for two and higher dimensions; Loglinear models and estimate of parameters. Logistic regression and bioassays.
STS 824 Statistical Computing and Data Analysis (4 Units)
Students study advanced statistical packages and use open source software to analyze various survey and experimental data sets.
STS 825 Advanced Demography (3 Units)
Evaluation and adjustment of demographic data; sources of data; general principle of evaluation. Indepth study of statistical techniques used in the study of population growth and movement. Models of population growth and movement. Models of population structure and processes.
STS 827 ICT and Research Methodology (2 Units)
Survey design: basic scientific principles of social research; concepts and hypothesis formulation and testing. Organization of research; construction of questionnaire, observation and interview. Data processing including; editing, coding, verification, tabulation and analysis of data, organization of report writing. Sampling: Role of sampling in data collection. Probability sampling. Simple random sampling and its properties; Stratified, Multistage, Systematic sampling, Cluster, etc. Examples of Demographic sample surveys in Africa. Measure of sampling errors.
STS 829 Advance Statistical Theory (3 Units)
Limiting theorems. Convergence of sequence of variables and some probability functions limiting distribution. Generating functions and inversion theorems. Special parametric univariate and multivariate distributions and large sample theory. Further theory of statistical inference.
STS 831 Operations Research (3 units)
Operations research problems, models and criteria. The practice and context of Operations Research. Introduction to stock control, scheduling, queuing theory, replacement, critical path analysis, dynamic programming and simulation. Theory of games. Decision theory. Replacement critical path analysis. Dynamic programming. Inventory control. Simulations
STS 840 – Statistical Readings (4 Units)
Students undertake independent and internetassisted study on assigned topical or historical issue in statistics. A written bounded report is produced for examination.
STS 899 Research Project (6 Units)
Research project on a topic approved by a supervisory committee.
9.5.11 Staff List
Academic staff
S/N 
NAME 
QUALIFICATION 
RANK 
AREA OF SPECIALIZATION 
1 
Dr. S. O. N. Agwuegbo

B.Sc. (UNN), M.Sc. (Lagos), PhD. (Abeokuta)

Senior Lecturer & Ag. Head of Department 
Stochastic Processes & Time Series 
2 
*Prof. O. E. Asiribo 
B.Sc. (Zaria), M.Sc.(Reading), PhD. (Wisconsin) 
Professor 
Statistical Modeling & Experimental Design 
3 
**Prof. G. N. Amahia 
PDS, B.Sc., M.Sc., PhD. (Ibadan) 
professor

Sample Survey & Statistical Inference 
4 
**Dr. K. S. Adekeye

B.Sc., M.Sc. (Ilorin), Certificate in Computer (Ilorin), PhD. (Dortnubd) 
Reader 
Statistical Quality Control & Industrial Statistics 
5 
**Dr. D. A. Agunbiade 
B.Sc., M.Sc., MinfSc., PhD. (Ibadan) 
Reader 
Econometrics & Statistical Inference 
6 
+*Dr. I.A. Osinuga 
B.Sc. (OOU), M.Sc. (Ibadan, PhD (Ilorin) 
Senior Lecturer 
Operation Research and Statistical Computing 
7 
Dr. F. S. Apantaku (Mrs.) 
B.Sc., M.Sc. (Ibadan), PhD. (Abeokuta) 
Lecturer I 
Sample Survey & Statistical Inference 
8 
Dr. G. A. Dawodu 
B.Sc., M.Sc. (Lagos), PGDC, M.Sc., PhD. (Abeokuta) 
Lecturer I 
Statistical Computing and Modeling 
9 
Dr. O. M. Olayiwola 
ND (Kwara), HND (Ibadan), PGD (Ibadan), B.Sc. (Ilorin), M.Sc. (Ibadan), PhD. (Ibadan) 
Lecturer I 
Sample Survey & Statistical Inference 
* On Sabbatical Leave
+* Adjunct Lecturer
** Associate Lecturer