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Variance Continuous Of Random Variable Books

Statistics, 6th edition

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

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

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

Fundamentals of Mathematical Statistics (A Modern Approach), Tenth Edition

Author: SC Gupta, VK Kapoor

School: University of Ilorin

Department: Science and Technology

Course Code: STA124

Topics: Frequency Distribution, Arithmetic Mean, Measures of Dispersion, Skewness, Kurtosis, Probability, Random Variables, Distribution Function, Mathematical Expectation, Generating Functions, Theoretical Discrete Distributions, Bernoulli Distribution, Binomial Distribution, Poisson Distribution, Theoretical Continuous Distributions, Cunle Fitting, Principle of Least Squares, Correlation, Regression, Attributes, Sampling, Large Sample Tests, Exact Sampling Distributions, Chi-Square Distribution, t-test, t distribution, F distribution, z distribution, Statistical Inference, Estimation, Testing of Hypothesis, Non-parametric Methods, Sequential Analysis

Inferential statistics-Biostatistics lecture 3

Author: Ophthalmolgy

School: University of Ilorin

Department: Medical, Pharmaceutical and Health science

Course Code: EPIDEMIOLOGY AND COMMUNITY HEALTH200

Topics: biostatistics, hypotheses, Hypothesis, Standard Normal Distribution, Normal Distribution, Measures of exposure, prevalence, measure of risk, risk calculation, odd calculation, Test of association, P-value, Confidence interval, chi-square, T test, ANOVA, Conservative tests, Sample size, continuous variable, Finite population correction, binary variable

Vector Quantization and Signal Compression

Author: Allen Gersho, Robert Gray

School: National Open University of Nigeria

Department: Science and Technology

Course Code: CIT891

Topics: Vector Quantization, Signal Compression, random proocesses, linear systems, probability, sampling, periodic sampling, linear prediction, Elementary Estimation Theory, Finite-Memory Linear Prediction, Levinson-Durbin Algorithm, Minimum Delay Property, scalar coding, Scalar Quantization, Predictive Quantization, Delta Modulation, Difference Quantization, Bit Allocation, Transform Coding, Karhunen-Loeve Transform, Performance Gain of Transform Coding, entropy coding, Variable-Length Scalar Noiseless Coding, huffman coding, Vector Entropy Coding, Ziv-Lempel Coding, Constrained Vector Quantization, Predictive Vector Quantization, Finite-State Vector Quantization, Tree and Trellis Encoding, Adaptive Vector Quantization, Variable Rate Vector Quantization

Introduction to Econometrics, 2nd edition

Author: GS. Maddala

School: Edo University

Department: Administration, Social and Management science

Course Code: ECO313

Topics: Econometrics, matrix algebra, probability, random variables, probability distributions, normal probability distribution, classical statistical inference, interval estimation, simple regression, least squares method, stochastic regressors, regression fallacy, multiple regression, heteroskedasticity, autocorrelation, Durbin-Watson test, multicollinearity, dropping variables, dummy variable, truncated variables, simultaneous equations models, diagnostic checking, model selection, specification testing, time-series analysis, vector autoregressions, unit roots, cointegration, unit root

Applied Linear Statistical Models 5th Edition Instructors Solutions Manual

Author: Michael Kutner, Christopher Nachtsheim, John Neter, William Li

School: University of Ibadan

Department: Science and Technology

Course Code: STA322

Topics: Linear Statistical Models, linear regression, inference, correlation analysis, simultaneous inferences, regression analysis, simple linear regression analysis, multiple regression, quantitative predictors, qualitative predictors, regression, model, autocorrelation, time series, nonlinear regression, Neural networks, Logistic regression, Possion regression, Generalized linear models, ANOVA, Two-factor analysis of variance, two-factor studies, randomized complete block designs, analysis of covariance, multifactor studies, Nested designs, subsampling, partially nested designs

Applied Linear Statistical Models,5th edition

Author: Michael Kutner, Christopher Nachtsheim, John Neter, William Li

School: University of Ibadan

Department: Science and Technology

Course Code: STA322

Topics: Linear Statistical Models, linear regression, inference, correlation analysis, simultaneous inferences, regression analysis, simple linear regression analysis, multiple regression, quantitative predictors, qualitative predictors, regression, model, autocorrelation, time series, nonlinear regression, Neural networks, Logistic regression, Possion regression, Generalized linear models, ANOVA, Two-factor analysis of variance, two-factor studies, randomized complete block designs, analysis of covariance, multifactor studies, Nested designs, subsampling, partially nested designs

Statistical Methods in Agriculture and Experimental Biology ,2nd edition

Author: Mead, RN Curnow, AM Hasted

School: University of Ibadan

Department: Science and Technology

Course Code: STA351

Topics: Probability, distributions, Estimation, hypothesis testing, random variation, randomized block design, Latin square designs, factorial treatment structure, Linear regression, Variance homogeneity, linear relationships, Linear models, non-Linear models, analysis of proportions, experimental measurements, experimental measurements analysis, Sampling finite populations, Experimental Biology, Agricultural Statistical Methods

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