Bayes Books
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
Discrete mathematics and its applications ,8th edition
Author: Kenneth Rosen
School: University of Ibadan
Department: Science and Technology
Course Code: CSC242
Topics: Discrete mathematics, logic, sets, functions, sequences, matrices, algorithms, Number theory, cryptography, induction, recursion, counting, discrete probability, advanced counting techniques, counting techniques, Linear Recurrence Relations, modelling computation, Finite-State Machines, relations, graphs, trees, boolean algebra, modelling computation, Boolean Functions, Logic Gates, Minimization of Circuits.Tree Traversal, Spanning Trees, Minimum Spanning Trees, Graph Models, Graph Terminology, Graph Isomorphism, Connectivity, Euler path, Hamilton Path, Shortest-Path Problems, Planar Graphs, Graph Coloring, Representing Relations, Equivalence Relations, Probability Theory, Bayes Theorem, variance, Pigeonhole Principle, permutation combination, binomial coefficient, Recursive Algorithms, Program Correctness, Divisibility, Modular Arithmetic, Integer Representations, Set Operations, Cardinality of Sets
Introduction to Mathematical Statistics ,8th edition
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
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
Statistical Methods in Medical Research,Fourth Edition
Author: Armitage, Berry, Matthews
School: University of Ilorin
Department: Science and Technology
Course Code: STA201
Topics: Probability, Variation, Bayesian method, Regression, Correlation, comparison, proportions, Experimental design, Modelling categorical data, survival analysis, Multivariate methods, Clinical trials, Statistical methods in epidemiology
Principles of Data Mining, 3rd edition
Author: Max Bramer
School: University of Ilorin
Department: Science and Technology
Course Code: CSC405, ICS402
Topics: data mining, classification, Naıve Bayes Classifiers, Nearest Neighbour Classification, decision tree, continuous attributes, entropy, ROC, ensemble classification, comparing classifiers, association rule mining, clustering, text mining, classifying streaming data
Introduction to the Theory of Statistics Solutions Manual
Author: Alexander McFarlane Mood, Franklin Graybill, Duane Boes
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: probability, random variables, distribution function, expectation, moments, chebyshev inequality, Jensen inequality, univariate distribution, discrete distribution, continuous distribution, comments, joint distribution function, conditional distribution, stochastic independence, covariance, correlation, distribution of function, sampling, sampling distribution, sample mean, order statistics, parametric point estimation, point estimators, sufficiency, unbiased estimation, location invariance, scale invariance, Bayes estimator, vector of parameters, parametric interval estimation, confidence interval, test of hypothesis, loss function, Chi-square test, linear model, Nonparametric method, tolerance limit
Introduction to the theory of statistics, Third edition
Author: Alexander McFarlane Mood, Franklin Graybill, Duane Boes
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: probability, random variables, distribution function, expectation, moments, chebyshev inequality, Jensen inequality, univariate distribution, discrete distribution, continuous distribution, comments, joint distribution function, conditional distribution, stochastic independence, covariance, correlation, distribution of function, sampling, sampling distribution, sample mean, order statistics, parametric point estimation, point estimators, sufficiency, unbiased estimation, location invariance, scale invariance, Bayes estimator, vector of parameters, parametric interval estimation, confidence interval, test of hypothesis, loss function, Chi-square test, linear model, Nonparametric method, tolerance limit
Author: CAROLINE ATURU-AGHEDO, KADIRI KAYODE
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: BUS722
Topics: Business Statistics, Data Collection, Decision Making Process, Summarizing Data, Graphical Presentation of Data, Measures of Central Tendency, Arithmetic Mean, Geometric Mean, Harmonic Mean, Median, Mode, Measures of Dispersion, Set theory, Permutation, Combination, Probability Rules, Events, Bayes' Theorem, Probability Distribution, Discrete Random Variable, Correlation Theory, Pearson‘s Correlation Coefficient, Spearman‘s Regression Analysis, Lease Square Regression Analysis, Multiple Regression Analysis, T-test, F-Test, Chi-square, ANOVA
Econometric Analysis ,8th edition
Author: William Greene
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO454
Topics: Linear Regression Model, Econometrics, Least Squares Regression, Hypothesis Tests, Model Selection, Functional Form, Difference in Differences, Structural Change, Nonlinear Regression Models, Semiparametric Regression Models, Nonparametric Regression Models, Endogeneity, Instrumental Variable Estimation, Generalized Regression Model, Heteroscedasticity, Regression Equations, Estimation Frameworks, Estimation Methodology, Minimum Distance Estimation, Generalized Method of Moments, Maximum Likelihood Estimation, Simulation-Based Estimation, Inference, Random Parameter Models, Bayesian Estimation, Cross Sections, Panel Data, Microeconometrics, Binary Outcomes, Discrete Choices, Multinomial Choices, Event Counts, Limited Dependent Variables—Truncation, Censoring, Sample Selection, Time Series, Macroeconometrics, Serial Correlation, Nonstationary Data
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