11/10/2023 0 Comments Online stat book![]() The course is presented as a series of key ideas. The book begins with basic concepts behind the statistics and never gets harder than simple arithmetic. Here I present statistics for the ordinary person. ( 6378 views) Foundations in Statistical ReasoningĬontents: Statistical Reasoning Obtaining Useful Evidence Examining the Evidence Using Graphs and Statistics Inferential Theory Testing Hypotheses Confidence Intervals and Sample Size Analysis of Bivariate Quantitative Data Chi Square etc.īy Ivan Lowe -, 2016 Topics: bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, finite population inference, biased sampling and nonignorable nonresponse, etc. ( 5995 views) Bayesian Methods for Statistical AnalysisĪ book on statistical methods for analysing a wide variety of data. Learn how to predict system outputs from measured data using a detailed step-by-step process to develop, train, and test reliable regression models. The book presents one of the fundamental data modeling techniques in an informal tutorial style. ( 7710 views) Linear Regression Using R: An Introduction to Data Modelingīy David R. Our motivation for writing it is to provide a low-cost alternative to many existing popular textbooks on the market. This book is meant to be a textbook for a standard one-semester introductory statistics course for general education students. Contents: One-Variable Statistics - Basics Bi-variate Statistics - Basics Linear Regression Probability Theory Bringing Home the Data Basic Inferences.īy Douglas S. This is a first draft of a free textbook for a one-semester, undergraduate statistics course. Poritz - Colorado State University, Pueblo, 2017 ![]() Lies, Damned Lies, or Statistics: How to Tell the Truth with Statisticsīy Jonathan A. ( 4268 views) Bayesian Networks: Advances and Novel Applicationsīy Douglas McNair (ed.) - IntechOpen, 2019īayesian networks have recently experienced increased interest and diverse applications in numerous areas, including economics, risk analysis, assets and liabilities management, AI and robotics, transportation systems planning and optimization, etc. E-books in Mathematical Statistics category Computer Age Statistical Inference: Algorithms, Evidence, and Data Scienceīy Bradley Efron, Trevor Hastie - Stanford University, 2016īeginning with classical inferential theories, the book takes up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, etc.
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