Tabla de Contenidos: “…Cover; Halftitle; Title; Copyright; Dedication; Contents; Preface to the third edition; Study guide for students; Acknowledgements; Part 1; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Part 2; Chapter 5; Chapter 6; Chapter 7; Chapter 8; Chapter 9; Chapter 10; Chapter 11; Chapter 12; Part 3; Chapter 13; Chapter 14; Chapter 15; Chapter 16; Chapter 17; Chapter 18; Chapter 19; Part 4; Chapter 20; Chapter 21; Chapter 22; Chapter 23; Chapter 24; Answers to Questions; Recommended Reading; References; Statistical Tables; Decision Chart…”

Tabla de Contenidos: “…Front Cover; Statistical Power Analysis with Missing Data; Copyright Page; Contents; 1. …”

Tabla de Contenidos: “…Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1: Introduction; Chapter 2: Causal Reasoning and Study Designs; Chapter 3: Basic Statistical Concepts and Tools; Chapter 4: Quantifying Growth and Development: Use of Existing Tools; Chapter 5: Regression Analysis of Quantitative Outcomes; Chapter 6: Regression Analysis of Binary Outcomes; Chapter 7: Regression Analysis of Censored Outcomes; Chapter 8: Analysis of Repeated Measurements and Clustered Data; Chapter 9: Quantifying Growth: Development of New Tools; Chapter 10: Quantifying Development: Development of New Tools…”

“…In this context, this book presents the latest advances and developments in statistical approaches for evaluating and forecasting water resources quality. …”

“…OECD Labour Force Statistics Series…”

“…To provide governments with the tools to achieve their goals, the Guidebook for Improved Electricity Access Statistics (hereafter "Guidebook") focuses on methodologies using readily available supply-side data from electric utilities, mini-grid operators, and off-grid system distributors to track access to electricity trends. …”

Materias: “…Revenue Statistics…”

“…A challenging frontier in modern statistical physics concerns systems with a small number of degrees of freedom, far from the thermodynamic limit. …”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Where to Go from Here -- Chapter 1 Data, Statistics, and Decisions -- The Statistical (and Related) Notions You Just Have to Know -- Samples and populations -- Variables: Dependent and independent -- Types of data -- A little probability -- Inferential Statistics: Testing Hypotheses -- Null and alternative hypotheses -- Two types of error -- Chapter 2 Introducing R -- Downloading R and RStudio -- A Session with R -- The working directory -- So let's get started, already -- Missing data -- R Functions -- User-Defined Functions -- R Structures -- Vectors -- Numerical vectors -- Matrices -- Factors -- Lists -- Lists and statistics -- Data frames -- Extracting data from a data frame -- for Loops and if Statements -- Chapter 3 Digging Deeper Into R -- Packages -- More on Packages -- R Formulas -- Reading and Writing -- Spreadsheets -- CSV files -- Text files -- Chapter 4 Finding Your Center -- Means: The Lure of Averages -- The Average in R: mean() -- What's your condition? …”

Tabla de Contenidos: “…Properties of indefinite integrals -- Integration by parts -- Definite integrals -- Working with calculus in R -- Plotting basic functions -- Working with derivatives -- Using symbolic parameters -- Working with the second derivative -- Working with partial derivatives -- Working with integration in R -- More on antiderivatives -- Evaluating the definite integral -- Summary -- Part 3: Fundamentals of Mathematical Statistics in R -- Chapter 10: Probability Basics -- Technical requirements -- Introducing probability distribution -- Exploring common discrete probability distributions -- The Bernoulli distribution -- The binomial distribution -- The Poisson distribution -- Poisson approximation to binomial distribution -- The geometric distribution -- Comparing different discrete probability distributions -- Discovering common continuous probability distributions -- The normal distribution -- The exponential distribution -- Uniform distribution -- Generating normally distributed random samples -- Understanding common sampling distributions -- Common sampling distributions -- Understanding order statistics -- Extracting order statistics -- Calculating the value at risk -- Summary -- Chapter 11: Statistical Estimation -- Statistical inference for categorical data -- Statistical inference for a single parameter -- Introducing the General Social Survey dataset -- Calculating the sample proportion -- Calculating the confidence interval -- Interpreting the confidence interval of the sample proportion -- Hypothesis testing for the sample proportion -- Inference for the difference in sample proportions -- Type I and Type II errors -- Testing the independence of two categorical variables -- Introducing the contingency table -- Applying the chi-square test for independence between two categorical variables -- Statistical inference for numerical data…”