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Regression Variables Books

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

Introduction to Econometrics ,4th Global Edition

Author: James Stock, Mark Watson

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO355, ECO356

Topics: Econometrics, economic questions, Regression Analysis, Linear Regression, Hypothesis Tests, Confidence Intervals, Multiple Regression, Nonlinear Regression Functions, Instrumental Variables Regression, Experiments, Quasi-Experiments, Time Series Regression, Forecasting

Biostatistics for Animal Science, 3rd edition

Author: Miroslav Kaps, William Lamberson

School: National Open University of Nigeria

Department: Agriculture and Veterinary Medicine

Course Code: AGR302

Topics: Biostatistics, measures of central tendency, measures of variability, probability, permutations, random variables, Bernoulli Distribution, Binomial Distribution, Geometric Distribution, Hyper-geometric Distribution, Negative Binomial Distribution, Poisson Distribution, Multinomial Distribution, Uniform Distribution, Normal Distribution, Multivariate Normal Distribution, Logistic Distribution, Chi-square Distribution, Gamma Distribution, Exponential Distribution, Beta Distribution, Dirichlet Distribution, population sample, central limit theorem, degrees of freedom, parameters estimation, point estimation, maximum likelihood estimation, interval estimation, hypothesis testing, simple linear regression, simple regression model, partitioning total variability, partial correlation, rank correlation, likelihood ratio test, robust regression, curvilinear regression, polynomial regression, segmented regression, Least Significance Difference, intraclass correlation, experimental error, randomized complete block design, Partitioning Total Variability

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

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

Correlation and simple regression (Lecture note 5)

Author: MK Garba

School: University of Ilorin

Department: Science and Technology

Course Code: STA204

Topics: Correlation, simple regression, Correlation Analysis, Scatter Plot, Correlation Coefficient

Regression Analysis( lecture note 5)

Author: MK Garba

School: University of Ilorin

Department: Science and Technology

Course Code: STA204

Topics: Scatter Diagram, Regression Analysis

Elementary statistics, 11th edition

Author: Robert Johnson, Patricia Kuby

School: Edo University

Department: Administration, Social and Management science

Course Code: ECO113

Topics: statistics, single-variable data, bivariate data, probability, probability distributions, discrete variables, normal probability distributions, sample variability, statistical inference, Chi-square, analysis of variance, linear correlation, regression analysis, nonparametric statistics, data collection, measurability, variability, measure of central tendency, linear correlation, linear regression, random variables, Binomial probability distribution, normal probability distributions, notation, sampling distributions, inferential statistics, Chi-square statistic, ANOVA, linear correlation analysis, linear regression analysis

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

Applied Econometrics ,2nd edition

Author: Dimitrios Asteriou, Stephen Hall

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO355

Topics: Applied Econometrics, Econometrics, Economic Data, Basic Data Handling, Simple Regression, Classical Linear Regression Model, Multiple Regression, Multicollinearity, Heteroskedasticity, Autocorrelation, Misspecification, Wrong Regressors, Measurement Errors, Wrong Functional Forms, Dummy Variables, Dynamic Econometric Models, Simultaneous Equation Models, Limited Dependent Variable Regression Models, Time Series Econometrics, ARIMA Models, Box–Jenkins Methodology, ARCH model, GARCH model, Vector Autoregressive Models, Causality Tests, Non-Stationarity Tests, Unit-Root Tests, Cointegration, Error-Correction Models, Solving Models, Panel Data Econometrics, Panel Data Models, Dynamic Heterogeneous Panels, Non-Stationary Panels, Econometric Software

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