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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

Statistical Tables

Author: Christopher Dougherty

School: University of Ilorin

Department: Science and Technology

Course Code: STA204

Topics: Cumulative normal distribution, Critical values of the t distribution, Critical values of the F distribution, Critical values of the chi-squared distribution

Statistics for Agricultural and Biological Sciences 2 lecture note

Author: STA204

School: University of Ilorin

Department: Science and Technology

Course Code: STA204

Topics: estimation, central limit theorem, sample proportion, interval estimation, sample estimation, hypothesis testing, two population mean, design experiments, replication, error control, analysis of variance, experimental design, ANOVA, sum of squares, simple linear regression, correlation

Inferential statistics-Biostatistics lecture 3

Author: Ophthalmolgy

School: University of Ilorin

Department: Medical, Pharmaceutical and Health science

Course Code: EPIDEMIOLOGY AND COMMUNITY HEALTH200

Topics: biostatistics, hypotheses, Hypothesis, Standard Normal Distribution, Normal Distribution, Measures of exposure, prevalence, measure of risk, risk calculation, odd calculation, Test of association, P-value, Confidence interval, chi-square, T test, ANOVA, Conservative tests, Sample size, continuous variable, Finite population correction, binary variable

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

Statistics For Economist 2

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

Econometric Analysis ,8th edition

Author: William Greene

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO454

Topics: Linear Regression Model, Econometrics, Least Squares Regression, Hypothesis Tests, Model Selection, Functional Form, Difference in Differences, Structural Change, Nonlinear Regression ­Models, Semiparametric Regression ­Models, Nonparametric Regression ­Models, Endogeneity, Instrumental Variable Estimation, Generalized Regression Model, Heteroscedasticity, Regression Equations, Estimation Frameworks, Estimation Methodology, Minimum Distance Estimation, Generalized Method of ­Moments, Maximum Likelihood Estimation, Simulation-Based Estimation, Inference, Random Parameter Models, Bayesian Estimation, Cross Sections, Panel Data, Microeconometrics, Binary Outcomes, Discrete Choices, Multinomial Choices, Event Counts, Limited Dependent Variables—Truncation, Censoring, Sample ­Selection, Time Series, Macroeconometrics, Serial Correlation, Nonstationary Data

An introduction to econometric theory

Author: James Davidson

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO454

Topics: Data Analysis, econometric theory, Matrix Representation, Matrix Equation, Least Squares Solution, Probability Distributions, modelling, fitting, Classical Regression Model, Gauss-Markov Theorem, testing, Eigenvalues, Eigenvectors, Gaussian Regression Model, Partitioning, Specification, Random Regressors, Asymptotics, Asymptotic Estimation Theory

Business Forecasting

Author: LAWAL Kamaldeen

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ENT330

Topics: Business Forecasting, business forecasts, Forecasting-External Factors, Forecasting Demand for New Products, Forecasting Demand, Good Forecasting Method, business forecasting limitations, forecasting system, Market Demand Forecasting, Assumptions of Forecasting, Quantitative Forecasting Methods, Qualitative Forecasting Approaches, Methods of Forecasting, Time Series Forecasting Method, Moving Average Method, Simple Moving Average Method, Exponential Smoothing, Weighted Moving Average, trend lines, Least-squares method, Monitoring Forecast, Controlling Forecast, Profit Forecasting, Material Forecasting

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