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Linear Momentum Books

Mathematics for users

Author: OO Ugbebor, UN Bassey

School: University of Ibadan

Department: Science and Technology

Course Code: MAT101

Topics: exponents, logarithms, functions, polynomials, exponential functions, inequalities, inequality symbol, inequality rules, finite series, arithemetic progression, geometric progression, limit, continuity, differentiation, integration, indefinite integrals, definite integrals, approximate integration, linear programming

Inequalities

Author: MAT UI

School: University of Ibadan

Department: Science and Technology

Course Code: MAT101

Topics: Inequalities, inequality rules, linear inequality, quadratic inequality

Microeconomic theory

Author: ML Jhingan

School: University of Ibadan

Department: Administration, Social and Management science

Course Code: ECO301

Topics: Microeconomic theory, economic theory, microeconomics, macroeconomics, economic statics, economic dynamics, comparative statics, economy, economic systems, socialism, price theory, price mechanism, consumption theory, Neo-classical utility analysis, utility analysis, total utility, indifference curve, income elasticity, production theory, large scale production, capital formation, production function, Labour, product pricing, money costs, real costs, opportunity, perfect competition, monopoly, monopsony, bilateral monopoly, monopolistic competition, Duopoly, Oligopoly, joint demand, joint supply, linear programming, factor pricing, rent, wages, interest, profits, taxation, tax, direct tax, indirect tax

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

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

Introduction to probability and distribution lecture note 3

Author: Favour

School: University of Ilorin

Department: Science and Technology

Course Code: STA124

Topics: linear regression, correlation coefficient, rank correlation, association of attribute

Introduction to probability and distribution material

Author: STA124

School: University of Ilorin

Department: Science and Technology

Course Code: STA124

Topics: random variables, Bernoulli trial, Binomial distribution, Poisson distribution, Geometrics, Uniform distribution, normal distribution, Bivariable, marginal distribution, condition distribution, linear regression, correlation, association of attributes

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

Applied Statistics

Author: Mohammed Shayib

School: University of Ilorin

Department: Science and Technology

Course Code: STA201

Topics: descriptive statistics, random variable, probability distribution, estimation, testing of statistical hypotheses, simple linear regression, correlation, analysis of variance

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