Confidence Interval Books
Statistics A Biomedical Introduction
Author: Byron Wm. Brown, Myles Hollander
School: University of Ilorin
Department: Medical, Pharmaceutical and Health science
Course Code: EPIDEMIOLOGY AND COMMUNITY HEALTH200
Topics: Populations, Samples, Distribution of the Sample Mean, Analysis of Matched, Confidence Interval, Treatment Effect, Hypothesis Test, Sample Size, Two-Sample Location Problem, Sample Means, Population Means, equal Population Variances, Randomized Clinical Experiments, Medical Research, Clinical Trial, Retrospective Studies, Prospective Studies, Randomized Clinical Experiments, Dichotomous Variables, Success Probability, Comparing Two Success Probabilities, Chi-Squared Tests, Test for Trend, r x k Tables, Test of Homogeneity, Test of Independence, k-Sample Problems, Completely Randomized Experiment, Randomized Blocks Experiment, Linear Regression, Correlation, rank Correlation, Wilcoxon Signed Rank Test, Nonparametric Confidence Interval, Signed Rank Test, Two-Sample Location Problem, Wilcoxon Two-Sample Rank Sum Test, Rank Sum Test, Methods for Censored Data, Censored Data
Introduction to the Theory of Statistics Solutions Manual
Author: Alexander McFarlane Mood, Franklin Graybill, Duane Boes
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: probability, random variables, distribution function, expectation, moments, chebyshev inequality, Jensen inequality, univariate distribution, discrete distribution, continuous distribution, comments, joint distribution function, conditional distribution, stochastic independence, covariance, correlation, distribution of function, sampling, sampling distribution, sample mean, order statistics, parametric point estimation, point estimators, sufficiency, unbiased estimation, location invariance, scale invariance, Bayes estimator, vector of parameters, parametric interval estimation, confidence interval, test of hypothesis, loss function, Chi-square test, linear model, Nonparametric method, tolerance limit
Introduction to the theory of statistics, Third edition
Author: Alexander McFarlane Mood, Franklin Graybill, Duane Boes
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: probability, random variables, distribution function, expectation, moments, chebyshev inequality, Jensen inequality, univariate distribution, discrete distribution, continuous distribution, comments, joint distribution function, conditional distribution, stochastic independence, covariance, correlation, distribution of function, sampling, sampling distribution, sample mean, order statistics, parametric point estimation, point estimators, sufficiency, unbiased estimation, location invariance, scale invariance, Bayes estimator, vector of parameters, parametric interval estimation, confidence interval, test of hypothesis, loss function, Chi-square test, linear model, Nonparametric method, tolerance limit
Author: Konstantin Zuev
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA221
Topics: Statistical Inference, summarizing data, simple random sampling, population variance, normal approximation, confidence intervals, inference, Maximum Likelihood, Hypothesis Testing, Wald test, t-test, Permutation Test, Likelihood Ratio Test, Testing Mendel’s Theory, Multiple Testing, Regression Function, Regression Model, Scatter Plots, Simple Linear Regression Model, Ordinary Least Squares, Interval Estimation, Prediction, Graphic Residual Analysis
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
Managing Risk and Resilience in the Supply Chain
Author: David Kaye
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ENT421
Topics: Managing Risk, Resilience, modern day business models, business continuity management, business continuity, Third-party relationship management, Managing third parties, benchmarking confidence, gaining confidence
Design and Analysis of Experiments, 9th Edition
Author: Douglas Montgomery
School: Bayero University, Kano
Department: Engineering
Course Code: EGR2103
Topics: comparative experiments, sampling, sampling distributions, hypothesis testing, confidence intervals, Randomized Complete Block Design, factorial designs, Fitting Regression Models, linear regression models, Regression Model Diagnostics, response surface methodology, Robust Parameter Design, crossed array design, analysis of covariance
Introduction to Mathematical Statistics ,8th edition
Author: Robert Hogg, Joseph McKean, Allen Craig
School: Federal University of Agriculture, Abeokuta
Department: Science and Technology
Course Code: STS213
Topics: Statistics, Probability, Distributions, Multivariate Distributions, statistical inference, consistency, limiting distributions, maximum likelihood methods, sufficiency, optimal test of hypotheses, nonparametric statistics, robust statistics, Bayesian statistics, conditional probability, random variables, correlation coefficient, binomial distribution, Poisson distribution, Normal distribution, Multivariate normal distribution, sampling, confidence intervals, hypothesis testing, central limit theorem, maximum likelihood estimation, sequential probability ratio test, likelihood ratio test, sample median, signed-rank Wilcoxon, Mann–Whitney–Wilcoxon Procedure, Simple Linear Model, Bayesian Procedures
Introduction to Mathematical Statistics ,7th edition Instructor’s Solutions manual
Author: Allen Craig, Robert Hogg, Joseph McKean
School: Federal University of Agriculture, Abeokuta
Department: Science and Technology
Course Code: STS213
Topics: Statistics, Probability, Distributions, Multivariate Distributions, statistical inference, consistency, limiting distributions, maximum likelihood methods, sufficiency, optimal test of hypotheses, nonparametric statistics, robust statistics, Bayesian statistics, conditional probability, random variables, correlation coefficient, binomial distribution, Poisson distribution, Normal distribution, Multivariate normal distribution, sampling, confidence intervals, hypothesis testing, central limit theorem, maximum likelihood estimation, sequential probability ratio test, likelihood ratio test, sample median, signed-rank Wilcoxon, Mann–Whitney–Wilcoxon Procedure, Simple Linear Model, Bayesian Procedures
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