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Logistic Distribution Books

Introduction to Mathematical Statistics ,8th edition

Author: Robert Hogg, Joseph McKean, Allen Craig

School: University of Ibadan

Department: Science and Technology

Course Code: STA211

Topics: Mathematical Statistics, probabilty, distributions, multivariate distributions, statistical interference, Consistency, limiting distributions, Maximum likelihood methods, sufficiency, tests of hypotheses, nonparametric statistics, robust statistics, Bayesian statistics, ANOVA

Statistical Inference I

Author: Femi Ayoola, JF Ojo, Remi Raji-Oyelade

School: University of Ibadan

Department: Science and Technology

Course Code: STA121

Topics: Statistical Inference, sampling, statistics, Sampling Techniques, Non-Probability Sampling Techniques, Large Sample Distribution of Means, Difference of Means, Central Limit Theorem, Sampling Distribution of Means, Large Sample Distribution of Proportion, Difference of Proportions, Large Sample Interval Estimation, estimation, Hypothesis Testing, Null Hypothesis, Scatter Diagram, Simple Bivariate Regression Model, Least Square Method, Correlation Analysis, Spear’s Ranking Order Correlation, Time Series Analysis, time series

Elementary Statistics (A Step by Step Approach), 10th edition

Author: Allan Bluman

School: University of Ilorin

Department: Science and Technology

Course Code: STA121

Topics: data description, frequency distribution, graph, ogive, frequency polygon, central tendency, population variance, probability, counting rules, normal distribution, discrete probability distribution, confidence interval, sample size, hypothesis testing, correlation regression, chi-square test, analysis of variance, sampling, simulation, nonparametric statistics, Scheffé Test, turkey test, sampling techniques

Common Laboratory Tests

Author: Chemical Pathology

School: University of Ilorin

Department: Medical, Pharmaceutical and Health science

Course Code: CHEMICAL PATHOLOGY

Topics: Complete blood count, Hemoglobin, Total Red Blood Cell Count, Hematocrit, spun hematocrit, Centrifuged blood, Mean Corpuscular Volume, Red Cell Distribution Histogram, Red Blood Cell Distribution Width, Red Blood Cell Distribution, White Blood Cell Count, White Blood Cell differential, Platelet Count, Basic Metabolic Panel, sodium, Potassium, calcium, Chloride, Creatinine, Complete Metabolic Panel, Metabolic Panel, Albumin, Alkaline Phosphatase, Aspartate Aminotransferase

Operations Management ,11th edition

Author: Lee Krajewski, Manoj Malhotra, Larry Ritzman

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: CC405

Topics: process management, process strategy, process analysis, managing quality, planning quality, waiting line models, managing process constraints, customer demand management, forecasting demand, linear programming models, supply chain management, supply chains, logistics, supply chain sustainability

General Ecology

Author: BIO312

School: University of Ibadan

Department: Science and Technology

Course Code: BIO312

Topics: climate, Rainfall variability, rainfall, Humidity, Solar radiation, sunshine, light, cloudiness, wind, Edaphic factors, Soil Formation, plant community, terrestrial pollution, forest resources, wildlife resources, population, population ecology, population growth, logistic growth model, sigmoid form model, population density variation, population size

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

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

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