Image Probability Density Models Books
The elements of probability theory and some of its applications ,2nd edition
Author: Harld Cramer
School: University of Ibadan
Department: Science and Technology
Course Code: STA211
Topics: probability theory, probability, Binomial distribution, normal distribution, continous distribution, sampling distributions, statistical inference
An Introduction to Probability and Statistics, Third Edition
Author: Vijay Rohatgi, AK. Md. Ehsanes Saleh
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: Probability, Random Variables, Probability Distributions, Moments, Generating Functions, Multiple Random Variables, Degenerate Distribution, Two-Point Distribution, Uniform Distribution on n Points, Sample Statistics, Random Sampling, Basic Asymptotics, Large Sample Theory, Parametric Point Estimation, Neyman–Pearson Theory, Hypotheses Testing, Confidence Estimation, General Linear Hypothesis, Nonparametric Statistical Inference
Introduction to Linear Regression Analysis ,5th edition
Author: Elizabeth Peck, Geoffrey Vining, Douglas Montgomery
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Linear Regression Analysis, Regression, Model Building, Data Collection, Simple Linear Regression Model, Simple Linear Regression, Least-Squares Estimation, Hypothesis Testing, Interval Estimation, Multiple Regression Models, Multiple linear regression, Hypothesis Testing, Confidence Intervals, Standardized Regression Coefficients, Multicollinearity, Residual Analysis, model adequacy checking, Variance-Stabilizing Transformations, Generalized Least Squares, Weighted Least Squares, Regression Models, subsampling, Leverage, Measures of Influence, influence, Polynomial regression Models, Piecewise Polynomial Fitting, Nonparametric Regression, Kernel Regression, Locally Weighted Regression, Orthogonal Polynomials, Indicator Variables, Multicollinearity, Multicollinearity Diagnostics, Model-Building, regression models, Linear Regression Models, Nonlinear Regression Models, Nonlinear Least Squares, Logistic Regression Models, Poisson regression, Time Series Data, Detecting Autocorrelation, Durbin-Watson Test, Time Series Regression, Robust Regression, Inverse Estimation
Introduction to Linear Regression Analysis Solutions Manual for 5th edition
Author: Ann Ryan, Douglas Montgomery, Elizabeth Peck, Geoffrey Vining
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Linear Regression Analysis, Regression, Model Building, Data Collection, Simple Linear Regression Model, Simple Linear Regression, Least-Squares Estimation, Hypothesis Testing, Interval Estimation, Multiple Regression Models, Multiple linear regression, Hypothesis Testing, Confidence Intervals, Standardized Regression Coefficients, Multicollinearity, Residual Analysis, model adequacy checking, Variance-Stabilizing Transformations, Generalized Least Squares, Weighted Least Squares, Regression Models, subsampling, Leverage, Measures of Influence, influence, Polynomial regression Models, Piecewise Polynomial Fitting, Nonparametric Regression, Kernel Regression, Locally Weighted Regression, Orthogonal Polynomials, Indicator Variables, Multicollinearity, Multicollinearity Diagnostics, Model-Building, regression models, Linear Regression Models, Nonlinear Regression Models, Nonlinear Least Squares, Logistic Regression Models, Poisson regression, Time Series Data, Detecting Autocorrelation, Durbin-Watson Test, Time Series Regression, Robust Regression, Inverse Estimation
Author: Malcolm Payne
School: University of Ibadan
Department: Administration, Social and Management science
Course Code: SOW303
Topics: Social Work Theory, Social worker, Work, Psychodynamic Models, Crisis Intervention, Task-centred practice, Behavioural Models, Models, Systems, Ecological Models, Social Psychology, Humanist Models, Existential Models, Cognitive Models, Empowerment, Advocacy
Applied Linear Statistical Models 5th Edition Instructors Solutions Manual
Author: Michael Kutner, Christopher Nachtsheim, John Neter, William Li
School: University of Ibadan
Department: Science and Technology
Course Code: STA322
Topics: Linear Statistical Models, linear regression, inference, correlation analysis, simultaneous inferences, regression analysis, simple linear regression analysis, multiple regression, quantitative predictors, qualitative predictors, regression, model, autocorrelation, time series, nonlinear regression, Neural networks, Logistic regression, Possion regression, Generalized linear models, ANOVA, Two-factor analysis of variance, two-factor studies, randomized complete block designs, analysis of covariance, multifactor studies, Nested designs, subsampling, partially nested designs
Applied Linear Statistical Models,5th edition
Author: Michael Kutner, Christopher Nachtsheim, John Neter, William Li
School: University of Ibadan
Department: Science and Technology
Course Code: STA322
Topics: Linear Statistical Models, linear regression, inference, correlation analysis, simultaneous inferences, regression analysis, simple linear regression analysis, multiple regression, quantitative predictors, qualitative predictors, regression, model, autocorrelation, time series, nonlinear regression, Neural networks, Logistic regression, Possion regression, Generalized linear models, ANOVA, Two-factor analysis of variance, two-factor studies, randomized complete block designs, analysis of covariance, multifactor studies, Nested designs, subsampling, partially nested designs
Author: Irwin Miller, Marylees Miller
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: probability, Probability Distribution, Probability Densitiy, Mathematical Expectation, Special Probability Distribution, Special Probability Density, Random Variables, Sampling Distributions, Decision Theory, Point Estimation, Interval Estimation, Hypothesis Testing, Regression, Correlation
John E. Freunds Mathematical Statistics with Applications, Eighth Edition
Author: Irwin Miller, Marylees Miller
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: probability, Probability Distribution, Probability Densitiy, Mathematical Expectation, Special Probability Distribution, Special Probability Density, Random Variables, Sampling Distributions, Decision Theory, Point Estimation, Interval Estimation, Hypothesis Testing, Regression, Correlation
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
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