Covariance Books
Analysis of variance (ANOVA) and analysis of covariance(ANCOVA) (Lecture note 4 continuation)
Author: MK Garba
School: University of Ilorin
Department: Science and Technology
Course Code: STA204
Topics: Analysis Of Variance, ANOVA, Completely Randomized Design
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
Design and Analysis of Experiments, 9th Edition
Author: Douglas Montgomery
School: Bayero University, Kano
Department: Engineering
Course Code: EGR2103
Topics: comparative experiments, sampling, sampling distributions, hypothesis testing, confidence intervals, Randomized Complete Block Design, factorial designs, Fitting Regression Models, linear regression models, Regression Model Diagnostics, response surface methodology, Robust Parameter Design, crossed array design, analysis of covariance
Author: STA FUTO
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA431
Topics: Statistical Computing, file management, data entry, Data Manipulation, sort data, Standardize data, Descriptive Statistics, Chi-square, Frequencies, Normality test, graphs icon, scatter plot, error bars, histogram, Bar Chart, Line Graph, Pie Chart, Paired-sample t-test, ANOVA, Pearson's Correlation, Spearman's Correlation, covariance, linear regression, Straight Line Fit, Curved Line Fit, Multiple Linear Regression
Introduction to econometrics ,3rd edition
Author: Christopher Dougherty
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: MM306
Topics: Random variables, sampling theory, Covariance, variance, correlation, Simple regression analysis, regression coefficients, hypothesis testing, Multiple regression analysis, Transformations of variables, Dummy variables, Heteroscedasticity, Stochastic regressors, measurement errors, Binary choice, limited dependent models, maximum likelihood estimation, Autocorrelation
Author: Michael de Smith
School: University of Ibadan
Department: Science and Technology
Course Code: STA231, STA322, STA351, STA415
Topics: Statistical Analysis, statistical data, statistical method, sampling, sample size, data preparation, data cleaning, missing data, data errors, statistical error, probability theory, odds, risk, frequentist probability theory, Bayesian probability theory, probability distribution, statistical modelling, computational statistics, inference, bias, confounding, hypothesis testing, statistical significance, confidence intervals, Non-parametric analysis, descriptive statistics, measures of central tendency, statistical indices, key functions, matrix, data transformation, data standardization, Box-cox, power transforms, Freeman-turkey transform, log transform, exponential transforms, logit transform, Normal transform, Z-transform, data exploration, graphic, visualization, exploratory data analysis, randomness, randomization, random numbers, random permutations, correlation, autocorrelation, probability distributions, eestimations, estimators, Maximum likelihood estimation, Bayesian estimation, z-test, T-test, variance test, contigency tables, randomized block designs, factorial designs, Analysis of variance, Analysis of covariance, ANOVA, MANOVA, ANCOVA, regression, smoothing, time series analysis
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
Author: Adesina- Uthman Ganiyat
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO450
Topics: Statistical Inference, Applied Statistics, sampling distribution, probability distribution, Analysis of Variance, Analysis of Covariance, Multiple Regression Analysis, Estimation of multiple regressions, Partial correlation coefficient, Multiple correlation coefficient, coefficient of determination, time series, Time Series Analysis, price index
Agricultural Statistics And Data Processing
Author: Isaac Adeyinka
School: National Open University of Nigeria
Department: Agriculture and Veterinary Medicine
Course Code: AGR302
Topics: Agricultural Statistics, Data Processing, population, sample, frequency distribution, measures of variation, measures of location, probability, probability distributions, Descriptive Statistics, sampling, data collection, data processing techniques, inference, hypothesis testing, variance analysis, Correlation analysis, regression analysis, Covariance analysis, goodness of fit, Chi-Square Test, Field experimentation
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
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