Polynomial Regression Books
Author: MA Otitoju
School: National Open University of Nigeria
Department: Agriculture and Veterinary Medicine
Course Code: AEA505
Topics: Econometrics, regression analysis, Non-linear Regression Analysis, regression analysis data, Ordinary Least Squares Method, Parameter Testing, Hypothesis formulation, correlation analysis, Computing Correlation Coefficient, Autocorrelation, Multicollinearity, Heteroscedasticity, Analysis of Variance, ANOVA
Elementary numerical analysis, 3rd edition
Author: Samuel Daniel Conte, Carl de Boor
School: Edo University
Department: Science and Technology
Course Code: CMP315
Topics: numerical analysis, number system, interpolation, Fixed-Point Iteration, Polynomial Equations, Real Roots, Complex Roots, Müller’s Method, Triangular Factorization, Determinants, Eigenvalue Problem, Backward-Error Analysis, determinants, Unconstrained Optimization, approximation, data fitting, Orthogonal Polynomials, Fast Fourier Transforms, Piecewise-Polynomial Approximation, differentiation, integration, numerical differentiation, numerical integration, Romberg Integration, Simple Difference Equations, Boundary Value Problems
Author: MAT212
School: University of Ibadan
Department: Science and Technology
Course Code: MAT212
Topics: Linear Algebra, Algebra of Matrices, matrix, Determinants, Matrix Inverse, Systems of Linear Equations, Vector Space, linear equation, Subspaces of Vector Spaces, Rank of a Matrix, Linear Transformations, Linear Transformation, Homogeneous Systems of Linear Equations, Non-Homogeneous Systems of Linear Equations, Eigenvalue, Eigenvector, Minimal Polynomial, Matrix Polynomial, Companion Matrix, Similar Matrix, Diagonal Matrix, Triangular Matrix
Schaum's Outline of Theory and problems of modern algebra
Author: Frank ayres
School: University of Ilorin
Department: Science and Technology
Course Code: MAT203
Topics: set, Venn diagram, relation, operation, natural numbers, integer, natural number, real number, complex number, group, ring, integral domain, division ring, field, polynomial, vector space, matrix, matrix polynomial
A Book of Abstract Algebra, Second Edition
Author: Charles pinter
School: University of Ilorin
Department: Science and Technology
Course Code: MAT306, MAT327
Topics: Group, function, permutation, isomorphism, group element, subgroup, function, cyclic group, partition, equivalence relation, counting coset, homomorphism, quotient group, homomorphism theorem, ring, quotient ring, integral domain, polynomial, factoring polynomial, extension of fields, vector space, field extension, ruler, compass, Galois theory, set theory
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
Quantitative techniques in business, management and finance a case-study approach
Author: Umeshkumar Dubey, DP Kothari, GK Awari
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: MM307
Topics: Quantitative Decision Making, Quantitative Techniques, data collection, statistical methods, Quantitative Methods.Arranging Data, published data, unplublished data, primary data, Data Presentation Devices, Frequency Distribution, graphs, histogram, frequency polygon, frequency curve, Cumulative Frequency Distribution, Skewness, Kurtosis, Measures of Central Tendency, Arithmetic Mean, median, quantile, mode, variation, range, mean deviation, average deviation, standard deviation, variance, Bienayme–Chebyshev Rule, Probability Theory, Probability, Probability Rules, Conditional Probability, Set Theory, Venn Diagram, Statistical Decision Theory, Decision Theory, determinants, Business Decision Theory, Stochastic Business Situation, Linear Programming, Linear Programming Problem, Sampling Theory, Sampling Methods, sampling, Simple Random Sampling, Stratified Random Sampling, Systematic Random Sampling, Quasi-Random Sampling, Interval Sampling, Cluster Sampling, Multi-Stage Random Sampling, area sampling, quota sampling, error, Hypothesis Testing, Probability Distributions, Binomial Distribution, Poisson Distribution, Normal Probability Distribution, t-Test, Chi-Square Test, Business Forecasting, Correlation Analysis.Correlation, Regression Analysis, Regression, Least-Squares Method, Standard Error of Estimate, Multiple Regressions, Time Series Analysis, Seasonal Variations, Cyclical Variations, business cycle, Irregular Variations, Random Movements, Unpredictable Movements, Erratic Variations, Accidental Variations, Research Methodology, Research Approach
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
Author: STA FUTO
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA431
Topics: Statistical Computing, file management, data entry, Data Manipulation, sort data, Standardize data, Descriptive Statistics, Chi-square, Frequencies, Normality test, graphs icon, scatter plot, error bars, histogram, Bar Chart, Line Graph, Pie Chart, Paired-sample t-test, ANOVA, Pearson's Correlation, Spearman's Correlation, covariance, linear regression, Straight Line Fit, Curved Line Fit, Multiple Linear Regression
Probability and Statistics, The Science of Uncertainty, 2nd Edition
Author: Michael Evans, Jeffrey Rosenthal
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA301
Topics: probability models, Conditional Probability, Venn diagram, Random Variables, Discrete Distributions, Continuous Distributions, Cumulative Distribution Functions, Joint Distributions, Simulating Probability Distributions, expectation, Inequalities, Jensen’s Inequality, Sampling Distributions, Limits, Central Limit Theorem, Monte Carlo Approximations, Normal Distribution Theory, Chi-Squared Distribution, Statistical Inference, statistical model, Data Collection, Finite Populations, Simple Random Sampling, Histograms, Survey Sampling, Descriptive Statistics, Plotting Data, Likelihood Inference, Maximum Likelihood Estimation, Distribution-Free Methods, Bayesian Inference, Bayesian Computations, Optimal Inferences, Optimal Unbiased Estimation, Optimal Hypothesis Testing, quantitative response, Simple Linear Regression Model, Bayesian Simple Linear Model, Multiple Linear Regression Model, Markov Chains, Gambler’s Ruin Problem, Markov Chain Monte Carlo, Martingales, Brownian Motion, Poisson Processes
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