Bayes Books
Probability and Statistics, The Science of Uncertainty, 2nd Edition
Author: Michael Evans, Jeffrey Rosenthal
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA301
Topics: probability models, Conditional Probability, Venn diagram, Random Variables, Discrete Distributions, Continuous Distributions, Cumulative Distribution Functions, Joint Distributions, Simulating Probability Distributions, expectation, Inequalities, Jensen’s Inequality, Sampling Distributions, Limits, Central Limit Theorem, Monte Carlo Approximations, Normal Distribution Theory, Chi-Squared Distribution, Statistical Inference, statistical model, Data Collection, Finite Populations, Simple Random Sampling, Histograms, Survey Sampling, Descriptive Statistics, Plotting Data, Likelihood Inference, Maximum Likelihood Estimation, Distribution-Free Methods, Bayesian Inference, Bayesian Computations, Optimal Inferences, Optimal Unbiased Estimation, Optimal Hypothesis Testing, quantitative response, Simple Linear Regression Model, Bayesian Simple Linear Model, Multiple Linear Regression Model, Markov Chains, Gambler’s Ruin Problem, Markov Chain Monte Carlo, Martingales, Brownian Motion, Poisson Processes
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
Introduction to Mathematical Statistics ,7th edition Instructor’s Solutions manual
Author: Allen Craig, Robert Hogg, Joseph McKean
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
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: Richard Johnson, Gouri Bhattacharya
School: Edo University
Department: Science and Technology
Course Code: MTH122
Topics: Statistics, measures of variation, bivariate data, probability, Bayes theorem, Probability distributions, random variables, binomial distribution, normal distribution, inference, regression analysis, simple linear regression analysis, Multiple Linear Regression, analysis of variance, ANOVA, nonparametric inference
Mathematical Statistics with Applications,First Edition
Author: Kandethody Ramachandran, Chris Tsokos
School: Federal University of Technology, Minna
Department: Science and Technology
Course Code: STA117
Topics: Descriptive Statistics, Probability Theory, Sampling Distributions, point estimation, interval estimation, hypothesis testing, linear regression models, Analysis of Variance, Bayesian Estimation, Inference, nonparametric test, empirical method, set theory
Schaum's Outline of Probability and Statistics, Fourth Edition
Author: John Schiller, Alu Srinivasan, Murray Spiegel
School: Federal University of Technology, Minna
Department: Science and Technology
Course Code: STA117
Topics: Probability, statistics, Random Variables, Probability Distributions, Mathematical Expectation, Special Probability Distributions, Sampling Theory, Estimation Theory, Curve Fitting, Regression, Correlation, Analysis of Variance, Nonparametric Tests, Bayesian Methods
Author: ST111
School: Modibbo Adama University of Technology
Department: Science and Technology
Course Code: ST111
Topics: bayes theorem, counting
Author: GN Amahia
School: University of Ibadan
Department: Science and Technology
Course Code: STA211
Topics: Probability, Permutations, Combinations, probability laws, conditional Probability, independence rule, Bayes rule, random variables, Chebyshev's inequality, Bernoulli distribution, Binomial Probability distribution, Negative binomial distribution, geometric distribution, Poisson distribution, hypergeometric distribution, uniform distribution, rectangular distribution, normal distribution, Joint marginal distribution, conditional distribution, Gamma distribution, Chi-square distribution
Introduction to Mathematical Statistics ,7th edition solution manual
Author: Robert Hogg, Joseph McKean, Allen Craig
School: University of Ibadan
Department: Science and Technology
Course Code: STA211
Topics: Mathematical Statistics, probabilty, distributions, multivariate distributions, statistical interference, Consistency, limiting distributions, Maximum likelihood methods, sufficiency, tests of hypotheses, nonparametric statistics, robust statistics, Bayesian statistics, ANOVA
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