Hypothesis Books
A guide to modern econometrics, 5th edition
Author: Marno Verbeek
School: Edo University
Department: Administration, Social and Management science
Course Code: ECO313
Topics: Econometrics, linear regression, linear regression mode, hypothesis testing, Heteroskedasticity, Autocorrelation, OLS estimator, Endogenous Regressors, Instrumental Variables, instrumental variables estimator, maximum likelihood estimation, quasi-maximum likelihood, binary choice models, Tobit models, sample selection bias, univariate time series models, multivariate time series models, panel data modelling, static linear model, vector, matrix
Research in Education, 10th education
Author: John Best, James Kahn, Arbind Jha
School: Edo University
Department: Administration, Social and Management science
Course Code: MAC310
Topics: research, populations, sampling, applied research, action research, research proposal, research report, thesis, dissertation, research methods, Historical Criticism, descriptive studies, assessment studies, evaluation studies, experimental research, quasi-experimental research, experimental validity, experimental design, Single-Subject Experimental Research, Manipulating Variables, qualitative research, data collection techniques, inquiry forms, questionnaire, opinionnaire, data analysis, descriptive analysis, normal distribution, statistical measures, inferential data analysis, statistical inference, central limit theorem, hypothesis testing, computer data analysis
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: TA Afolabi
School: Federal University of Agriculture, Abeokuta
Department: Science and Technology
Course Code: CHM101
Topics: Kinetic theory of matter, Boyle’s Law, pressure, gas laws, Charles’s Laws, combined gas law, Avogadro’s Law, Avogadro’s hypothesis, ideal gas law, gas density, Graham’s Law, Kinetic Molecular Theory
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
Introduction to Biostatistics ,2nd Edition
Author: Robert Sokal, James Rohlf
School: Federal University of Technology, Minna
Department: Science and Technology
Course Code: BIO324
Topics: Biostatistics, Data, accuracy, derived variables, frequency distribution, descriptive statistics, arithemetic mean, median, mode, range, standard deviation, sample statistics, binomial distribution, Poisson distribution, Normal probability distribution, normal distribution, estimation, hypothesis testing, confidence limits, chi-square distribution, Variance, regression, correlation
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
Design and Analysis of Experiments
Author: STA FUTO, Aldrian cares
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA453
Topics: Experiments Aid Estimation, Hypothesis Testing, experimental design techniques, experimental error, completely randomized design, least square method, confidence interval, ANOVA table, normality assumption, randomized completely block design, sum of squares calculation, relative efficiency, approximate analysis, missing values, incomplete block design, balanced incomplete block design, Latin square design
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
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