Simple Regression Model Books
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
Operations Research ,10th edition
Author: Hamdy Taha
School: University of Ibadan
Department: Science and Technology
Course Code: STA343
Topics: Operations Research, Operations Research models, linear programming, two-variable linear programming model, modelling, simplex method, sensitivity analysis, artificial starting solution, duality, post-optimal analysis, primal-dual relationships, simplex algorithms, transportation model, assignment mode, network mode, shortest-route problem, Minimal spanning tree algorithm, maximal flow model, critical path model, revised simplex method, revised algorithm, bounded-variables algorithm, parametric linear programming, goal programming, goal programming formulation, goal programming algorithm, integer linear programming, Heuristic programming, greedy heuristic, local search heuristic, metaheuristic, constriant programming, traveling salesperson problem, deterministic dynamic programming, dynamic programming, inventory modelling, probability, probability distribution, decision analysis, games, game theory, probabilistic inventory models, Markov chains, queuing systems, simulation modeling, classical optimization theory, Nonlinear programming algorithms
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
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
Applied time series modelling and forecasting
Author: Richard Harris, Robert Sollis
School: Edo University
Department: Administration, Social and Management science
Course Code: ECO412
Topics: Applied time series modelling, forecasting, Spurious Regressions, Panel Data Models
Econometrics Methods and Models 2
Author: Bruce Hansen, Oyeleke Famade
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: CC408
Topics: Heteroskedasticity, Autocorrelation, Multicollinearity, Inadequate Variation, Simultaneous Equations Regression Model, Panel Data Model
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
Author: Konstantin Zuev
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA221
Topics: Statistical Inference, summarizing data, simple random sampling, population variance, normal approximation, confidence intervals, inference, Maximum Likelihood, Hypothesis Testing, Wald test, t-test, Permutation Test, Likelihood Ratio Test, Testing Mendel’s Theory, Multiple Testing, Regression Function, Regression Model, Scatter Plots, Simple Linear Regression Model, Ordinary Least Squares, Interval Estimation, Prediction, Graphic Residual Analysis
The Economics of Development and Planning ,40th edition
Author: ML Jhingan
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: CC403
Topics: Economic Growth, Income Distribution, Sustainable Development, Underdeveloped Country, Chenery’s Patterns of Structural Change, Modern Economic Growth, Adam Smith’s Theory, Ricardian Theory, e Malthusian Theory, Mill’s Theory, Classical Theory, Marxian Theory, Schumpeterian Theory, Keynesian Theory, Marx’ Stages of Growth, Rostow’s Stages of Economic Growth, Gerchenkron’s Great Spurt Theory, Nurkse’s Theory of Disguished Unemployment, Lewis Theory, Fei-Ranis Theory, growth model, capital accumulation, Harrod-Domar Model, Kaldor Model of Distribution, Steady State Growth, von Neumann Growth Model, Uzawa Two-Sector Growth Model, Kaldor’s Model of Growth, e Solow Model of Long-Run Growth, Growth Accounting, Endogenous Growth Theory, Fel’dman Model, Mahalanobis Model, Capital Formation, Monetary Policy, Fiscal Policy, Deicit Financing, Human Capital Formation, Entrepreneurship, Foreign Trade, New International Economic order, Commercial Policy, Foreign Capital, Two-Gap Model, Private Foreign Investment, Multinationals, Millennium Development Goals, Economic Integration, Economic Planning, Shadow Prices, Project Evaluation, Cost-Benefit Analysis, Input-Output Analysis, Linear Programming, Capital-Output Ratio, Price Mechanism
Practical Business Forecasting
Author: Michael Evans
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: MM309
Topics: Business Forecasting, Linear Regression Model, Linear Model, Single-equation Regression Models, Distributed Lags, Dummy Variables, Nonlinear Regressions, Equation Stability, Equation Robustness, Smoothing Data, Time-series Decomposition Model, Linear Trends, Nonlinear Trends, Univariate Time-series Modeling, ARMA Model, Sales Forecasting, Long-term Forecasting, Macroeconomic Forecasting, Macroeconomic Model
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