Probability Books
Applied Statistics and Probability for Engineers, 7th edition
Author: Douglas Montgomery, George Runger
School: Bayero University, Kano
Department: Engineering
Course Code: EGR4201
Topics: Applied Statistics, Probability, collecting engineering data, sample spaces, event, counting techniques, conditional probability, Baye's theorem, Random variables, discrete random variables, probability distributions, probability mass functions, cumulative distribution functions, Discrete Uniform Distribution, binomial distribution, Hypergeometric Distribution, Poisson Distribution, probability density functions, continuous uniform distribution, Normal distribution, Erlang distributions, Weibull distribution, Lognormal distribution, joint probability distributions, covariance, correlation, probability plots, descriptive statistics, point estimation, statistical inference, multiple linear regression, multiple linear regression model, simple linear regression, analysis of variance
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
Intuitive Probability and Random Processes Using MATLAB
Author: Steven Kay
School: University of Ilorin
Department: Science and Technology
Course Code: MAT214, MAT335, PHY416, ELE576
Topics: computer simulation, probability, conditional probability, discrete random variables, conditional probability, mass functions, Discrete N-Dimensional Random Variables, Conditional Probability Density Functions, Continuous N-Dimensional Random Variables, Moment Approximations, limit theorem, MATLAB, random process, Wide Sense Stationary Random Process, linear system, Gaussian Random Process, Poisson Random Process, markov chains
Introduction to probability and distribution lecture note 2
Author: Favour
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: mean of random variable, variance of random variable, continuous random variable, probability density function, probability distribution function, mean continuous of random variable, variance continuous of random variable, discrete distribution, Bernoulli distribution, binomial distribution, Poisson distribution, geometric distribution, uniform distribution, continuous distribution, normal distribution, cumulative distribution function, Bivariate probability distribution, conditional probability distribution function
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
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
Author: Sufian Jelili Babatunde, Boro Irene
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: SMS102
Topics: Business Mathematics, sets, subsets, set operations, number sets, functions, annuity, cash flow, sinking fund, mathematical programming, linear programming, calculus, definite integral, indefinite integral, Transcendental functions integral, Simultaneous Equations, Linear Functions, Linear Inequalities, Probability, matrix algebra, Venn-Euler diagrams, Frequentist Probability, Relative Probability, Bayesian Probability, Subjective Probability, Axiomatic Probability, Conditional Probability, Matrix Addition, scalar application, matrix multiplication, Trigonometric Function
Author: ST112
School: Modibbo Adama University of Technology
Department: Science and Technology
Course Code: ST112
Topics: Probability Distribution, Binomial Distribution, Poisson Distribution, Geometric Distribution, Continuous Probability Distribution
The elements of probability theory and some of its applications ,2nd edition
Author: Harld Cramer
School: University of Ibadan
Department: Science and Technology
Course Code: STA211
Topics: probability theory, probability, Binomial distribution, normal distribution, continous distribution, sampling distributions, statistical inference
An Introduction to Probability and Statistics, Third Edition
Author: Vijay Rohatgi, AK. Md. Ehsanes Saleh
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: Probability, Random Variables, Probability Distributions, Moments, Generating Functions, Multiple Random Variables, Degenerate Distribution, Two-Point Distribution, Uniform Distribution on n Points, Sample Statistics, Random Sampling, Basic Asymptotics, Large Sample Theory, Parametric Point Estimation, Neyman–Pearson Theory, Hypotheses Testing, Confidence Estimation, General Linear Hypothesis, Nonparametric Statistical Inference
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