Interval Estimation Books
Author: Michael de Smith
School: University of Ibadan
Department: Science and Technology
Course Code: STA231, STA322, STA351, STA415
Topics: Statistical Analysis, statistical data, statistical method, sampling, sample size, data preparation, data cleaning, missing data, data errors, statistical error, probability theory, odds, risk, frequentist probability theory, Bayesian probability theory, probability distribution, statistical modelling, computational statistics, inference, bias, confounding, hypothesis testing, statistical significance, confidence intervals, Non-parametric analysis, descriptive statistics, measures of central tendency, statistical indices, key functions, matrix, data transformation, data standardization, Box-cox, power transforms, Freeman-turkey transform, log transform, exponential transforms, logit transform, Normal transform, Z-transform, data exploration, graphic, visualization, exploratory data analysis, randomness, randomization, random numbers, random permutations, correlation, autocorrelation, probability distributions, eestimations, estimators, Maximum likelihood estimation, Bayesian estimation, z-test, T-test, variance test, contigency tables, randomized block designs, factorial designs, Analysis of variance, Analysis of covariance, ANOVA, MANOVA, ANCOVA, regression, smoothing, time series analysis
Author: Femi Ayoola, JF Ojo, Remi Raji-Oyelade
School: University of Ibadan
Department: Science and Technology
Course Code: STA121
Topics: Statistical Inference, sampling, statistics, Sampling Techniques, Non-Probability Sampling Techniques, Large Sample Distribution of Means, Difference of Means, Central Limit Theorem, Sampling Distribution of Means, Large Sample Distribution of Proportion, Difference of Proportions, Large Sample Interval Estimation, estimation, Hypothesis Testing, Null Hypothesis, Scatter Diagram, Simple Bivariate Regression Model, Least Square Method, Correlation Analysis, Spear’s Ranking Order Correlation, Time Series Analysis, time series
Author: Steven Thompson
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Sampling, Sampling Units, Sampling errors, Nonsampling Errors, Simple Random Sampling, Confidence Intervals, Sample Size, Estimating Proportions, Estimating Ratios, Estimating Subpopulation Means, Unequal Probability Sampling, Horvitz-Thompson Estimator, Hansen–Hurwitz Estimator, Auxiliary Data, Ratio Estimation, Ratio Estimator, Small Population Illustrating Bias, Regression Estimation, Linear Regression Estimator, regression model, Multiple Regression Models, Regression Models, Stratified Sampling, Stratified Random Sampling, Cluster Sampling, Systematic Sampling, Multistage Designs, Double Sampling, Two-Phase Sampling, Network Sampling, Link-Tracing Designs, Detectability, Capture–Recapture Sampling, Line-Intercept Sampling, spatial sampling, Spatial Prediction, Kriging, Spatial Covariance Function, Spatial Designs, Adaptive Sampling Designs, Adaptive Sampling, Adaptive Cluster Sampling, Stratified Adaptive Cluster Sampling
Author: Irwin Miller, Marylees Miller
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: probability, Probability Distribution, Probability Densitiy, Mathematical Expectation, Special Probability Distribution, Special Probability Density, Random Variables, Sampling Distributions, Decision Theory, Point Estimation, Interval Estimation, Hypothesis Testing, Regression, Correlation
John E. Freunds Mathematical Statistics with Applications, Eighth Edition
Author: Irwin Miller, Marylees Miller
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: probability, Probability Distribution, Probability Densitiy, Mathematical Expectation, Special Probability Distribution, Special Probability Density, Random Variables, Sampling Distributions, Decision Theory, Point Estimation, Interval Estimation, Hypothesis Testing, Regression, Correlation
Introduction to Statistical Inference material
Author: Afolayan
School: University of Ilorin
Department: Science and Technology
Course Code: STA134
Topics: index number, Laspeyres index, Paasche index, demographic measure, ratio, rate, point estimation, interval estimation, Estimator, Mean Square Error, Minimum Variance Unbiased Estimator, Mean Square Error, Minimum Variance Unbiased Estimator, Hypothesis Testing, terms, Single Population Variance
Statistics A Biomedical Introduction
Author: Byron Wm. Brown, Myles Hollander
School: University of Ilorin
Department: Medical, Pharmaceutical and Health science
Course Code: EPIDEMIOLOGY AND COMMUNITY HEALTH200
Topics: Populations, Samples, Distribution of the Sample Mean, Analysis of Matched, Confidence Interval, Treatment Effect, Hypothesis Test, Sample Size, Two-Sample Location Problem, Sample Means, Population Means, equal Population Variances, Randomized Clinical Experiments, Medical Research, Clinical Trial, Retrospective Studies, Prospective Studies, Randomized Clinical Experiments, Dichotomous Variables, Success Probability, Comparing Two Success Probabilities, Chi-Squared Tests, Test for Trend, r x k Tables, Test of Homogeneity, Test of Independence, k-Sample Problems, Completely Randomized Experiment, Randomized Blocks Experiment, Linear Regression, Correlation, rank Correlation, Wilcoxon Signed Rank Test, Nonparametric Confidence Interval, Signed Rank Test, Two-Sample Location Problem, Wilcoxon Two-Sample Rank Sum Test, Rank Sum Test, Methods for Censored Data, Censored Data
Author: Konstantin Zuev
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA221
Topics: Statistical Inference, summarizing data, simple random sampling, population variance, normal approximation, confidence intervals, inference, Maximum Likelihood, Hypothesis Testing, Wald test, t-test, Permutation Test, Likelihood Ratio Test, Testing Mendel’s Theory, Multiple Testing, Regression Function, Regression Model, Scatter Plots, Simple Linear Regression Model, Ordinary Least Squares, Interval Estimation, Prediction, Graphic Residual Analysis
Introduction to Econometrics, 2nd edition
Author: GS. Maddala
School: Edo University
Department: Administration, Social and Management science
Course Code: ECO313
Topics: Econometrics, matrix algebra, probability, random variables, probability distributions, normal probability distribution, classical statistical inference, interval estimation, simple regression, least squares method, stochastic regressors, regression fallacy, multiple regression, heteroskedasticity, autocorrelation, Durbin-Watson test, multicollinearity, dropping variables, dummy variable, truncated variables, simultaneous equations models, diagnostic checking, model selection, specification testing, time-series analysis, vector autoregressions, unit roots, cointegration, unit root
Introduction to Mathematical Statistics ,8th edition
Author: Robert Hogg, Joseph McKean, Allen Craig
School: Federal University of Agriculture, Abeokuta
Department: Science and Technology
Course Code: STS213
Topics: Statistics, Probability, Distributions, Multivariate Distributions, statistical inference, consistency, limiting distributions, maximum likelihood methods, sufficiency, optimal test of hypotheses, nonparametric statistics, robust statistics, Bayesian statistics, conditional probability, random variables, correlation coefficient, binomial distribution, Poisson distribution, Normal distribution, Multivariate normal distribution, sampling, confidence intervals, hypothesis testing, central limit theorem, maximum likelihood estimation, sequential probability ratio test, likelihood ratio test, sample median, signed-rank Wilcoxon, Mann–Whitney–Wilcoxon Procedure, Simple Linear Model, Bayesian Procedures
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