Regression Variables Books
Author: Kadiri Kayode
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: FMS202
Topics: Business Statistics, Measurement of Variables, Statistics, Measurement of Dispersion, Skewness, Kurtosis, Decision Analysis, Administration, Index Number, sampling theories, statistical data, sample, sampling theory, Estimation Theory, Correlation Theory, Goodness of Fit, correlation, Pearson’s Correlation Co-efficient, Spearman’s Regression Analysis, Ordinary Lease Square Estimation, Regression, Multiple Regression Analysis, Regression Analysis, Hypothesis test, T-test, F- Tests, Chi-Square Distribution, ANOVA, Forecasting, Time Series Analysis, Statistical test
An introduction to generalized linear models ,4th edition
Author: Annette Dobson, Adrian Barnett
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: generalized linear models, Model Fitting, Exponential Family, estimation, inference, normal linear models, Binary Variables, Logistic Regression, Nominal Logistic Regression, Ordinal Logistic Regression, Poisson Regression, Log-Linear Models, Survival Analysis, Clustered data, Longitudinal Data, Bayesian Analysis, Markov Chain Monte Carlo Methods
Author: Steven Thompson
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Sampling, Sampling Units, Sampling errors, Nonsampling Errors, Simple Random Sampling, Confidence Intervals, Sample Size, Estimating Proportions, Estimating Ratios, Estimating Subpopulation Means, Unequal Probability Sampling, Horvitz-Thompson Estimator, Hansen–Hurwitz Estimator, Auxiliary Data, Ratio Estimation, Ratio Estimator, Small Population Illustrating Bias, Regression Estimation, Linear Regression Estimator, regression model, Multiple Regression Models, Regression Models, Stratified Sampling, Stratified Random Sampling, Cluster Sampling, Systematic Sampling, Multistage Designs, Double Sampling, Two-Phase Sampling, Network Sampling, Link-Tracing Designs, Detectability, Capture–Recapture Sampling, Line-Intercept Sampling, spatial sampling, Spatial Prediction, Kriging, Spatial Covariance Function, Spatial Designs, Adaptive Sampling Designs, Adaptive Sampling, Adaptive Cluster Sampling, Stratified Adaptive Cluster Sampling
Numerical methods for engineers ,8th edition
Author: Steven Chapra, Raymond Canale
School: University of Uyo
Department: Engineering
Course Code: GRE411
Topics: Mathematical Modeling, Engineering Problem Solving, Programming, Software, structured programming, Modular Programming, EXCEL, MATLAB, Mathcad, Significant Figures, accuracy, precision, error, Round-Off Errors, Truncation Errors, Taylor Series, Bracketing Methods graphical method, bisection method, False-Position Method, Simple Fixed-Point Iteration, Newton-Raphson Method, secant method, Brent’s Method, multiple roots, Roots of Polynomials, Müller’s Method, Bairstow’s Method, Roots of Equations pipe friction, Gauss Elimination, Naive Gauss Elimination, complex systems, Gauss-Jordan, LU Decomposition, Matrix Inversion, Special Matrices, Gauss-Seidel, Linear Algebraic Equations, Steady-State Analysis, One-Dimensional Unconstrained Optimization, Parabolic Interpolation, Golden-Section Search, Multidimensional Unconstrained Optimization, Constrained Optimization, linear programming, Nonlinear Constrained Optimization, Least-Squares Regression, linear regression, polynomial regression, Multiple Linear Regression, Nonlinear Regression, Linear Least Squares, interpolation, Newton’s Divided-Difference Interpolating Polynomials, Lagrange Interpolating Polynomials, Inverse Interpolation, Spline Interpolation, Multidimensional Interpolation, Fourier Approximation, Curve Fitting, Sinusoidal Functions, Continuous Fourier Series, Fourier Integral, Fourier Transform, Discrete Fourier Transform, Fast Fourier Transform, power spectrum, Newton-Cotes Integration Formulas, Trapezoidal Rule, Simpson’s Rules, multiple integrals, Newton-Cotes Algorithms, Romberg Integration, Adaptive Quadrature, Gauss Quadrature, Improper Integrals, Monte Carlo Integration, Numerical Differentiation, High-Accuracy Differentiation Formulas, Richardson Extrapolation, partial derivatives, Numerical Integration, Runge-Kutta Method, Euler’s Method, Boundary-Value Problems, Eigenvalue Problems, Finite Difference, Elliptic Equations, Laplace equation, Boundary Condition, Heat-Conduction Equation, Crank-Nicolson Method, Finite-Element Method
Applied Numerical Methods with MATLAB, 4th edition
Author: Steven Chapra
School: Edo University
Department: Engineering
Course Code: GEE216
Topics: Numerical Methods, mathematical modeling, MATLAB, mathematical operations, structured programming, errors, roundoff errors, truncation errors, total numerical errors, blunders, model errors, data uncertainty, roots, graphical methods, bracketing methods, bisection, roots, Simple Fixed-Point Iteration, Newton-Raphson, secant methods, Brent's method, MATLAB functions, optimization, linear systems, linear algebraic equations, matrices, Gauss elimination, Naive gauss elimination, tridiagonal systems, LU factorization, matrix inverse, system condition, error analysis, iterative methods, linear systems, nonlinear systems, Eugen values, power method, curve fitting, linear regression, random numbers, linear least-squares regression, polynomial regression, multiple linear regression, QR factorization, nonlinear regression, Fourier analysis, Continuous Fourier series, frequency domain, time domain, Fourier integral, Fourier transform, Discrete Fourier transform, power spectrum, polynomial interpolation, Newton interpolating polynomial, Lagrange interpolating polynomial, inverse interpolation, extrapolation, oscillations, splines, linear splines, quadratic splines, cubic spline, multidimensional interpolation, integration, differentiation, Numerical integration formulas, Newton-Cotes formulas, Trapezoidal rule, Simpson's rules, initial value problem, Runge-Kutta methods, adaptive Runge-Kutta methods, stiff systems, Boundary-value problems, shooting method, finite-difference methods, MATLAB function
Introductory Econometrics ,7th edition
Author: Jeffrey Wooldridge
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: CC312
Topics: Regression Analysis, Simple Regression Model, Multiple Regression Analysis, OLS Asymptotics, Heteroskedasticity, Time Series, Serial Correlation, Time Series Regressions, Simple Panel Data Methods, Advanced Panel Data Methods, Instrumental Variables Estimation, Two Stage Least Squares, Simultaneous Equations Models, Limited Dependent Variable Models, Sample Selection Corrections
Introduction to Statistics and Data Analysis
Author: Christian Heumann, Michael Schomaker, Shalabh
School: University of Nigeria, Nsukka
Department: Science and Technology
Course Code: STA205
Topics: Framework, Descriptive Statistics, Population, Sample, Observations, Frequency Measures, Graphical Representation of Data, Measures of Central Tendency, Measures of Dispersion, Measures of Concentration, lorenz curve, discrete variables, continours variables, probability calculus, combinatorics, probability theory, random variables, probability distribution, inductive statistics, hypothesis testing, parametric test, linear regression
Author: Mohammed Abba, Ishaku Ahmed Adamu
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: AC205
Topics: Statistical Inquiries, data collection, sample, sampling method, Probability Sampling, Non-probability Sampling, population, measurement, parameter, variables, Descriptive Statistics, Inferential Statistics, Quantitative Data, Qualitative Data, 3.1 Frequency Distribution, Graph, box plot, 5-number summary, sigma notation, arithemetic mean, skewness, mean, median, mode, Probability, Independent Events, Mutually Exclusive Events, Contingency Tables, Probability Trees, counting permutation, Discrete Random Variables, random variable notation, binomial distribution, geometric distribution, Poisson distribution, hypothesis testing, statistical testing, linear regression, linear correlation, correlation coefficient, linear equation, regression equation, index number, research method, confidential interval, chi-square distribution, forecasting, time series
A guide to modern econometrics, 5th edition
Author: Marno Verbeek
School: Edo University
Department: Administration, Social and Management science
Course Code: ECO313
Topics: Econometrics, linear regression, linear regression mode, hypothesis testing, Heteroskedasticity, Autocorrelation, OLS estimator, Endogenous Regressors, Instrumental Variables, instrumental variables estimator, maximum likelihood estimation, quasi-maximum likelihood, binary choice models, Tobit models, sample selection bias, univariate time series models, multivariate time series models, panel data modelling, static linear model, vector, matrix
Schaums outline of theory and problems of statistics and econometrics ,2nd edition
Author: Derrick Reagle, Dominick Salvatore
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO450
Topics: statistics, econometrics, Descriptive Statistics, Frequency Distributions, Measures of Central Tendency, Measures of Dispersion, Probability, Probability Distributions, Discrete Probability Distributions, Binomial Distribution, Poisson Distribution, Continuous Probability Distributions, The Normal Distribution, Statistical Inference, Estimation, Sampling, Sampling Distribution, Statistical Inference, Testing Hypothesis, Analysis of Variance, Chi-Square Test, Nonparametric Testing, Simple Regression Analysis, Two-Variable Linear Model, Ordinary Least-Squares Method, Ordinary Least-Squares Estimators, Multiple Regression Analysis, Three-Variable Linear Model, Coefficient of Multiple Determination, Partial-Correlation Coefficients, Matrix Notation, Functional Form, Regression Analysis, Dummy Variables, Distributed Lag Models, Forecasting, Binary Choice Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Simultaneous-Equations Methods, Time-Series Methods, ARMA
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