Nonlinear Regression Books
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
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: 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
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
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
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
Modern elementary statistics ,12th edition
Author: John Freund, Benjamin Perles
School: University of Ibadan
Department: Science and Technology
Course Code: STA121
Topics: statistics, summarizing data, listing, grouping, Numerical data, Stem-and-Leaf Displays, frequency distribution, graphical presentations, Summarizing Two-Variable Data, population, sample, mean, weighted mean, median, mode, grouped data, measures of variation, range, standard deviation, variance, posibility, probability, counting, permutation, combination, sample spaces, events, odds, conditional probability, multiplication rules, Bayes theorem, Mathematical Expectation, expectation, decision, decision making, Statistical Decision Problems, Random Variable, probability distributions, binomial distributions, hypergeometric distributions, Poisson distribution, Multinomial distribution, Mean of a Probability Distribution, Standard Deviation of a Probability Distribution, normal distribution, Continuous Distributions, sampling, random sampling, sample designs, systematic sampling, stratified sampling, cluster sampling, sampling distribuions, central limit theorem, estimation, Tests of Hypotheses, Significance Tests, One-Way Analysis of Variance, analysis of variance, Multiple Comparisons, Two-Way Analysis of Variance, Design of Experiments, Design of Experiments, regression, Curve Fitting, Regression Analysis, Multiple Regression, Nonlinear Regression, Coefficient of Correlation, correlation, Correlation Analysis, Multiple Correlation, Partial Correlation, Nonparametric tests, sign test, signed-rank test, U test, H test, Tests of Randomness, Rank Correlation
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
Optimization Theory and Methods (Nonlinear Programming)
Author: Wenyu Sun, Ya-xiang Yuan
School: University of Uyo
Department: Engineering
Course Code: CHE515
Topics: Line Search, Newton’s Methods, Conjugate Gradient Method, Quasi-Newton Methods, Trust-Region, Conic Model Methods, Theory of Constrained Optimization, Quadratic Programming, Penalty Function Methods, Methods for Constrained Problems, Non smooth Optimization
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