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Statistical Inference

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

Portfolio Analysis

Author: Noah Olaseinde, JN Obi-Aghedo

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: MM315

Topics: investment, Efficient Market, Random Walk, bond, Financial Statement, Stock Sales, Profitability, Industrial Life Cycle, Earning Growth Analysis, Investment Return, Investment Risk, Security Analysis, common stock, Fixed Income Securities, Bond Valuation, bond Analysis, Preferred Stocks, Convertible Securities

Statistics for Economist 1

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

Foundations of computer science

Author: Olufade Falade Williams Onifade

School: University of Ibadan

Department: Science and Technology

Course Code: CSC242

Topics: computer science, logic, sets, loops, recursion, Program Correctness, Loop invariant, Hoare’s Axiom, Discrete Probability, Randomized Algorithms, lists, graphs, Cryptography, Mathematical induction

Probability 2

Author: GN Amahia

School: University of Ibadan

Department: Science and Technology

Course Code: STA211

Topics: Probability, Permutations, Combinations, probability laws, conditional Probability, independence rule, Bayes rule, random variables, Chebyshev's inequality, Bernoulli distribution, Binomial Probability distribution, Negative binomial distribution, geometric distribution, Poisson distribution, hypergeometric distribution, uniform distribution, rectangular distribution, normal distribution, Joint marginal distribution, conditional distribution, Gamma distribution, Chi-square distribution

A first course in statistics ,12th edition

Author: James McClave, Terry Sincich

School: University of Ibadan

Department: Science and Technology

Course Code: STA351

Topics: statistics, statistical thinking, probability, random variables, probability distributions, inference, population, population means, simple linear regression, probabilistic models

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

Understanding Statistics in the Behavioral Sciences ,10th edition

Author: Robert Pagano

School: University of Ibadan

Department: Administration, Social and Management science

Course Code: SOW304

Topics: Statistics, Frequency Distributions, Central Tendency, Correlation, Regression, Probability, Random Sampling, Sampling, Binomial Distribution, Hypothesis Testing, Deviate Test, Inferential Statistics

Introduction to probability and distribution lecture note 1

Author: Favour

School: University of Ilorin

Department: Science and Technology

Course Code: STA124

Topics: Random variable, discrete variable, probability mass function, mathematical expectation, variance, standard deviation, mean of function

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