Audio/Video Lectures by Department. Aeronautics and Astronautics. Athletics, Physical Education and Recreation. Biological Engineering. Brain and Cognitive Sciences. Chemical Engineering. Civil and Environmental Engineering. Comparative Media Studies/Writing. Earth, Atmospheric, and Planetary Sciences. Edgerton Center. Book Description. Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of statistics and computing. Chapter 1 Principles of experimental design Induction Much of our scienti c knowledge about processes and systems is based on induction: reasoning from the speci c to the general. The course material consists of chapters from electronic textbooks and electronic papers. Most lectures will refer to the book "Elements of Statistical Learning" (ESL) by Hastie, Tibshirani and Friedman. This book is freely available from this link. References to other material will be given on CampusNet.

Statistics On these pages you will find Springer’s journals, books and eBooks in all areas of Statistics, serving researchers, professionals, lecturers and students. We publish many of the most prestigious journals in Statistics, including a number of fully open access journals. For the Love of Physics - Walter Lewin - - Duration: Lectures by Walter Lewin. They will make you ♥ Physics. Recommended for you. Theory of Statistics. This document originated from lecture notes of mathematical statistics course taught at George Mason University. Students should be able to work through the details of "hard" proofs and derivations. The MSc offers a broad high-level training in applied and computational statistics, statistical machine learning, and the fundamental principles of statistical inference. Training is delivered through mathematically demanding lectures and problems classes, hands-on practical sessions in the computer laboratory, report writing and dissertation.

Journals & Books; Help; Computational Statistics & Data Analysis. Supports open access. Articles in press Latest issue Article collections All issues Submit your article. Search in this journal. Special Issue on Biostatistics. Volume , Pages (April ). Although it's not specifically computational statistics, A Handbook of Statistical Analyses Using R - Brian S. Everitt and Torsten Hothorn covers a lot of topics that I've seen covered in basic and intermediate statistics books - inference, ANOVA, linear regression, logistic regression, density estimation, recursive partitioning, principal component analysis, and cluster analysis - using . This book covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing). Computational Statistics, Second Edition is perfect for advanced undergraduate or graduate courses in statistical computing and as a reference for practicing statisticians. About the Author GEOF H. GIVENS, PhD, is Associate Professor in the Department of Statistics /5(4).