Maximum Likelihood Estimation Books
Author: Dougherty
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO356
Topics: Elements of econometrics, Simple regression analysis, econometrics, regression analysis, regression coefficients, hypothesis testing, Multiple regression analysis, Transformations of variables, Dummy variables, regression variables, Heteroscedasticity, Stochastic regressors, measurement errors, Simultaneous equations estimation, Binary choice, limited dependent variable models, maximum likelihood estimation, time series data, nonstationary time series, panel data, Regression analysis, linear algebra primer
Generalized Linear Models ,2nd Edition
Author: McCullagh, John Nelder
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Generalized Linear Models, dilution assay, probit analysis, logit models, log-linear models, inverse polynomical, survival data, model fittinf, residuals, pearson residual, Anscombe residual, deviance residual, error structure, systemic component, aliasing, estimation, tables, binary data, binomial distribution, over-dispersion, measurement scales, multinomial distribution, likelihood functions, log-linear models, multiple responses, conditional likelihoods, hypergeometric distributions, Gamma distribution, Quasi-likelihood functions, dependent observations, optimal estimating functions, optimality criteria, model checking, survival data, dispersion
Estimation of blood loss at delivery
Author: Grace Ezeoke
School: University of Ilorin
Department: Medical, Pharmaceutical and Health science
Course Code: OBSTETRICS AND GYNECOLOGY
Topics: Postpartum Hemorrhage
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: OI Shittu
School: University of Ibadan
Department: Education
Course Code: SPE321
Topics: Statistical Inference, Point Estimation Techniques, Least Squares Method, Simple Linear Model, Least Squares Estimator, Maximum Likelihood, Cramer–Rao lower bound, Sufficiency, Fisher-Neyman Criterion, Test of Hypothesis
Author: Samuel Olumuyiwa Olusanya
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO355
Topics: Econometrics, Econometrics Model, Linear Regression, Regression Analysis, Ordinary Least Square Method Estimation, Classical Least Regression Method, Ordinary Least Square Estimators, Coefficient of Determination, Classical Normal Linear Regression Model, NORMAL LINEAR REGRESSION MODEL, SINGLE- EQUATION REGRESSION MODELS, ECONOMETRICS ANALYSIS, Method Of Maximum Likelihood, Confidence intervals, Regression Coefficients, Regression Analysis, Analysis of Variance, Normality
Introduction to Econometrics 2
Author: GA Adesina-Uthman, Okojie Daniel Esene
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO356
Topics: Sampling Theory, Variance, Correlation, Econometrics, Random Variables, Sampling Theory, Covariance, Variance, Correlation, Regression Models, Hypothesis Testing, Dummy Variables.Simple Regression Analysis, Regression Coefficients, Multiple Regression Analysis, Multicollinearity, Transformations of Variables, regression variables, Heteroscedasticity/Heteroskedasticity, Autocorrelation, Error, Econometric Modelling, Stochastic Regression, measurement errors, Autocorrelation, Econometric Modelling, Time Series Data Models, Simultaneous Equation, Binary Choice, Maximum Likelihood Estimation
Mathematical Statistics with Applications,First Edition
Author: Kandethody Ramachandran, Chris Tsokos
School: Federal University of Technology, Minna
Department: Science and Technology
Course Code: STA117
Topics: Descriptive Statistics, Probability Theory, Sampling Distributions, point estimation, interval estimation, hypothesis testing, linear regression models, Analysis of Variance, Bayesian Estimation, Inference, nonparametric test, empirical method, set theory
Introduction to Linear Regression Analysis ,5th edition
Author: Elizabeth Peck, Geoffrey Vining, Douglas Montgomery
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Linear Regression Analysis, Regression, Model Building, Data Collection, Simple Linear Regression Model, Simple Linear Regression, Least-Squares Estimation, Hypothesis Testing, Interval Estimation, Multiple Regression Models, Multiple linear regression, Hypothesis Testing, Confidence Intervals, Standardized Regression Coefficients, Multicollinearity, Residual Analysis, model adequacy checking, Variance-Stabilizing Transformations, Generalized Least Squares, Weighted Least Squares, Regression Models, subsampling, Leverage, Measures of Influence, influence, Polynomial regression Models, Piecewise Polynomial Fitting, Nonparametric Regression, Kernel Regression, Locally Weighted Regression, Orthogonal Polynomials, Indicator Variables, Multicollinearity, Multicollinearity Diagnostics, Model-Building, regression models, Linear Regression Models, Nonlinear Regression Models, Nonlinear Least Squares, Logistic Regression Models, Poisson regression, Time Series Data, Detecting Autocorrelation, Durbin-Watson Test, Time Series Regression, Robust Regression, Inverse Estimation
Introduction to Linear Regression Analysis Solutions Manual for 5th edition
Author: Ann Ryan, Douglas Montgomery, Elizabeth Peck, Geoffrey Vining
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Linear Regression Analysis, Regression, Model Building, Data Collection, Simple Linear Regression Model, Simple Linear Regression, Least-Squares Estimation, Hypothesis Testing, Interval Estimation, Multiple Regression Models, Multiple linear regression, Hypothesis Testing, Confidence Intervals, Standardized Regression Coefficients, Multicollinearity, Residual Analysis, model adequacy checking, Variance-Stabilizing Transformations, Generalized Least Squares, Weighted Least Squares, Regression Models, subsampling, Leverage, Measures of Influence, influence, Polynomial regression Models, Piecewise Polynomial Fitting, Nonparametric Regression, Kernel Regression, Locally Weighted Regression, Orthogonal Polynomials, Indicator Variables, Multicollinearity, Multicollinearity Diagnostics, Model-Building, regression models, Linear Regression Models, Nonlinear Regression Models, Nonlinear Least Squares, Logistic Regression Models, Poisson regression, Time Series Data, Detecting Autocorrelation, Durbin-Watson Test, Time Series Regression, Robust Regression, Inverse Estimation
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