Estimation Books
Survey Methods and Sampling Theory
Author: AA Sodipo, VC Onyeze
School: University of Ibadan
Department: Science and Technology
Course Code: STA324
Topics: Survey Methods, Sampling Theory, Sample Survey, Probability sampling, non-Probability sampling, Simple Random Sampling, Random Sampling, Non-Random Sampling, Population Proportion, Confidence Limit, Systematic Sampling, Stratified Random Sampling, Ratio, Regression Estimation, Non-Sampling Error, response error
An introduction to generalized linear models ,4th edition
Author: Annette Dobson, Adrian Barnett
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: generalized linear models, Model Fitting, Exponential Family, estimation, inference, normal linear models, Binary Variables, Logistic Regression, Nominal Logistic Regression, Ordinal Logistic Regression, Poisson Regression, Log-Linear Models, Survival Analysis, Clustered data, Longitudinal Data, Bayesian Analysis, Markov Chain Monte Carlo Methods
Basic Econometrics ,Fifth Edition
Author: Damodar Gujarati, Dawn Porter
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: CC312
Topics: Single-Equation Regression Models, Regression Analysis.Two-Variable Regression Analysis, Two-Variable Regression Model, Classical Normal Linear Regression Model, Two-Variable Regression, Interval Estimation, Hypothesis Testing, Multiple Regression Analysis, Dummy Variable Regression Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Econometric Modeling, Nonlinear Regression Model, Qualitative Response Regression Models, Panel Data Regression Models, Dynamic Econometric Models, Autoregressive Lag Models, Distributed-Lag Models, Simultaneous-Equation Models, Time Series Econometrics, Simultaneous-Equation Models, Identification Problem, Simultaneous-Equation Methods, Time Series Econometrics, Time Series Econometrics, Forecasting, econometrics
Basic econometrics Student solutions manual for use with Basic econometrics
Author: Damodar Gujarati, Dawn Porter
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: CC312
Topics: econometrics, Single-Equation Regression Models, Regression Analysis.Two-Variable Regression Analysis, Two-Variable Regression Model, Classical Normal Linear Regression Model, Two-Variable Regression, Interval Estimation, Hypothesis Testing, Multiple Regression Analysis, Dummy Variable Regression Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Econometric Modeling, Nonlinear Regression Model, Qualitative Response Regression Models, Panel Data Regression Models, Dynamic Econometric Models, Autoregressive Lag Models, Distributed-Lag Models, Simultaneous-Equation Models, Time Series Econometrics, Simultaneous-Equation Models, Identification Problem, Simultaneous-Equation Methods, Time Series Econometrics, Time Series Econometrics, Forecasting
Modern elementary statistics ,12th edition
Author: John Freund, Benjamin Perles
School: University of Ibadan
Department: Science and Technology
Course Code: STA121
Topics: statistics, summarizing data, listing, grouping, Numerical data, Stem-and-Leaf Displays, frequency distribution, graphical presentations, Summarizing Two-Variable Data, population, sample, mean, weighted mean, median, mode, grouped data, measures of variation, range, standard deviation, variance, posibility, probability, counting, permutation, combination, sample spaces, events, odds, conditional probability, multiplication rules, Bayes theorem, Mathematical Expectation, expectation, decision, decision making, Statistical Decision Problems, Random Variable, probability distributions, binomial distributions, hypergeometric distributions, Poisson distribution, Multinomial distribution, Mean of a Probability Distribution, Standard Deviation of a Probability Distribution, normal distribution, Continuous Distributions, sampling, random sampling, sample designs, systematic sampling, stratified sampling, cluster sampling, sampling distribuions, central limit theorem, estimation, Tests of Hypotheses, Significance Tests, One-Way Analysis of Variance, analysis of variance, Multiple Comparisons, Two-Way Analysis of Variance, Design of Experiments, Design of Experiments, regression, Curve Fitting, Regression Analysis, Multiple Regression, Nonlinear Regression, Coefficient of Correlation, correlation, Correlation Analysis, Multiple Correlation, Partial Correlation, Nonparametric tests, sign test, signed-rank test, U test, H test, Tests of Randomness, Rank Correlation
Introduction to Business Statistics ,7th edition
Author: Ronald Weiers
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Business Statistics, data collection, sampling methods, probability, discrete probability distribution, continous probability distributions, sampling distributions, estimation, hypothesis testing, hypothesis tests, analysis of variance, Chi-square applications, nonparametric methods, regression, simple linear regression, correlation, multiple regression, multiple correlation, model building, time series, forecasting, decision theory, total quality management
Author: OI Shittu
School: University of Ibadan
Department: Education
Course Code: SPE321
Topics: Statistical Inference, Point Estimation Techniques, Least Squares Method, Simple Linear Model, Least Squares Estimator, Maximum Likelihood, Cramer–Rao lower bound, Sufficiency, Fisher-Neyman Criterion, Test of Hypothesis
Solutions of Algebraic and Transcendental Equations
Author: Namrata Soni
School: University of Ilorin
Department: Science and Technology
Course Code: MAT212
Topics: Algebraic equations, Transcendental equations, Root of an equation, Error estimation
Generalized Linear Models ,2nd Edition
Author: McCullagh, John Nelder
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Generalized Linear Models, dilution assay, probit analysis, logit models, log-linear models, inverse polynomical, survival data, model fittinf, residuals, pearson residual, Anscombe residual, deviance residual, error structure, systemic component, aliasing, estimation, tables, binary data, binomial distribution, over-dispersion, measurement scales, multinomial distribution, likelihood functions, log-linear models, multiple responses, conditional likelihoods, hypergeometric distributions, Gamma distribution, Quasi-likelihood functions, dependent observations, optimal estimating functions, optimality criteria, model checking, survival data, dispersion
Statistical Methods in Agriculture and Experimental Biology ,2nd edition
Author: Mead, RN Curnow, AM Hasted
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Probability, distributions, Estimation, hypothesis testing, random variation, randomized block design, Latin square designs, factorial treatment structure, Linear regression, Variance homogeneity, linear relationships, Linear models, non-Linear models, analysis of proportions, experimental measurements, experimental measurements analysis, Sampling finite populations, Experimental Biology, Agricultural Statistical Methods
Departments
Administration, Social and Management science
Agriculture and Veterinary Medicine
Arts and Humanities
Education
Engineering
General studies
Law
Medical, Pharmaceutical and Health science
Science and Technology