Square Key Books
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: 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
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
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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