Variance Continuous Of Random Variable Books
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
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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