Regression Variables Books
Author: Richard Johnson, Gouri Bhattacharya
School: Edo University
Department: Science and Technology
Course Code: MTH122
Topics: Statistics, measures of variation, bivariate data, probability, Bayes theorem, Probability distributions, random variables, binomial distribution, normal distribution, inference, regression analysis, simple linear regression analysis, Multiple Linear Regression, analysis of variance, ANOVA, nonparametric inference
Author: Kadiri Kayode
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: SMS202
Topics: Business Statistics, Measurement of Variables, Measurement of Dispersion, Skewness, Kurtosis, Decision Analysis, index number, statistical data, sample, sampling theory, estimation theory, Correlation Theory, Goodness of Fit, Pearson’s Correlation Co-efficient, Spearman’s Regression Analysis, Ordinary Lease Square Estimation, Regression, Multiple Regression Analysis, statistical test, Chi-Square Distribution, ANOVA, Forecasting, Time Series 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
Analysis of Economic Data ,Fourth edition
Author: Gary Koop
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: MM306
Topics: Data Handling, Correlation, Regression, Multiple Regression, Qualitative Choice Models, Distributed Lag Models, Univariate Time Series Analysis, Autocorrelation Function, Time Series Regression, Financial Volatility, Autoregressive Conditional Heteroskedasticity, Granger Causality, Vector Autoregressions, Limitations, Extensions
Intuitive Probability and Random Processes Using MATLAB
Author: Steven Kay
School: University of Ilorin
Department: Science and Technology
Course Code: MAT214, MAT335, PHY416, ELE576
Topics: computer simulation, probability, conditional probability, discrete random variables, conditional probability, mass functions, Discrete N-Dimensional Random Variables, Conditional Probability Density Functions, Continuous N-Dimensional Random Variables, Moment Approximations, limit theorem, MATLAB, random process, Wide Sense Stationary Random Process, linear system, Gaussian Random Process, Poisson Random Process, markov chains
Author: Noah Olaseinde, DI Mailafia, Likita Ogba
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: CC203
Topics: Descriptive Statistics, probability, Discrete Random Variables, Hypothesis Testing, Linear Regression, Correlation, linear equation, regression equation, index number
Author: Samuel Olumuyiwa Olusanya
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO254
Topics: Statistics, probability Distribution, Continuous Random Variables, Probability Distributions, Hypothesis, Testing Difference, SAMPLING THEORY, population, Population Parameters, Sampling Parameters, Sampling Distribution, Estimators for Mean Variance, Frequency Distribution, Chi-Square Test, T-test, F-test, Regression Analysis, Simple Linear Regression Analysis
Author: Joshua Sunday Riti
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO713
Topics: Applied Econometrics, Econometrics, Simple Regression Model, Multiple Regression Model, Statistical Test of Significance, Econometric Problems, Heteroscedasticity, Autocorrelation, Multicollinearity, Identification Problem, Dummy variables, Distributed lag Models, Simultaneous Equation Estimation Methods, Vector Auto Regressive Models, Non-Stationarity, Unit Roots, Cointegration, Error Correction Model
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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