Segmented Regression Books
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
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
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
An Introduction to Statistical Methods and Data Analysis, Seventh Edition
Author: Lyman Ott, Michael Longnecker
School: University of Ilorin
Department: Science and Technology
Course Code: STA124, STA131, STA204, STA224, STA351, ECN414, STA433
Topics: Experimental Studies, Data Description, Probability, Probability Distributions, Population Central Values, inference, Multiple Comparisons, Categorical Data, Linear Regression, Correlation, Multiple Regression, General Linear Model, Analysis of Variance, Analysis of Covariance, Split-Plot, Repeated Measures, Crossover Designs
Author: Okojie Daniel Esen
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO253
Topics: Bernoulli Distribution, Binomial Distribution, Normal Distribution, Poisson Distribution, Probability, Statistic Distribution Functions, Statistical Hypothesis Test, T-test, F-test, Chi square test, ANOVA, Correlation Coefficient Analysis, Regression Coefficient Analysis, Pearson’s Correlation Coefficient, Spearman’s Rank Correlation Coefficient, Least Square Regression Line, Central Limit Theory, Central Limit Theorems, law of large numbers, Index Number, Statistical Data, Sample, Sampling Techniques
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
Departments
Administration, Social and Management science
Agriculture and Veterinary Medicine
Arts and Humanities
Education
Engineering
General studies
Law
Medical, Pharmaceutical and Health science
Science and Technology