Statistics in a Nutshell
Author: Sarah Boslaugh
Publisher: "O'Reilly Media, Inc."
Published: 2012-11-15
Total Pages: 595
ISBN-13: 1449316824
DOWNLOAD EBOOKA clear and concise introduction and reference for anyone new to the subject of statistics.
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R in a Nutshell
Author: Joseph Adler
Publisher: "O'Reilly Media, Inc."
Published: 2012-10-09
Total Pages: 723
ISBN-13: 144931208X
DOWNLOAD EBOOKPresents a guide to the R computer language, covering such topics as the user interface, packages, syntax, objects, functions, object-oriented programming, data sets, lattice graphics, regression models, and bioconductor.
Statistical Mechanics in a Nutshell, Second Edition
Author: Luca Peliti
Publisher: Princeton University Press
Published: 2024-08-06
Total Pages: 577
ISBN-13: 0691248451
DOWNLOAD EBOOKThe essential introduction to modern statistical mechanics—now completely updated and expanded Statistical mechanics is one of the most exciting areas of physics today and has applications to subjects ranging from economics and social behavior to algorithmic theory and evolutionary biology. Statistical Mechanics in a Nutshell provides a self-contained introduction to this rapidly developing field. Starting with the basics of kinetic theory and requiring only a background in elementary calculus and mechanics, this concise book discusses the most important developments of recent decades and guides readers to the very threshold of today’s cutting-edge research. Features a new chapter on stochastic thermodynamics with an introduction to the thermodynamics of information—the first treatment of its kind in an introductory textbook Offers a more detailed account of numerical simulations, including simulated annealing and other accelerated Monte Carlo methods The chapter on complex systems now features an accessible introduction to the replica theory of spin glasses and the Hopfield theory of neural networks, with an emphasis on applications Provides a new discussion of defect-mediated transitions and their implications for two-dimensional melting An invaluable resource for graduate students and advanced undergraduates seeking a compact primer on the core ideas of statistical mechanics Solutions manual (available only to instructors)
Introductory Statistics with R
Author: Peter Dalgaard
Publisher: Springer Science & Business Media
Published: 2008-06-27
Total Pages: 370
ISBN-13: 0387790543
DOWNLOAD EBOOKThis book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
A Modern Introduction to Probability and Statistics
Author: F.M. Dekking
Publisher: Springer Science & Business Media
Published: 2006-03-30
Total Pages: 485
ISBN-13: 1846281687
DOWNLOAD EBOOKSuitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books
Web Design in a Nutshell
Author: Jennifer Niederst Robbins
Publisher: "O'Reilly Media, Inc."
Published: 2006-02-21
Total Pages: 829
ISBN-13: 0596009879
DOWNLOAD EBOOK"Completely revised for standards compliance, including CSS 2.1 and XHTML 1.0"--Cover.
Quantum Field Theory in a Nutshell
Author: Anthony Zee
Publisher: Princeton University Press
Published: 2010-02-01
Total Pages: 605
ISBN-13: 1400835321
DOWNLOAD EBOOKA fully updated edition of the classic text by acclaimed physicist A. Zee Since it was first published, Quantum Field Theory in a Nutshell has quickly established itself as the most accessible and comprehensive introduction to this profound and deeply fascinating area of theoretical physics. Now in this fully revised and expanded edition, A. Zee covers the latest advances while providing a solid conceptual foundation for students to build on, making this the most up-to-date and modern textbook on quantum field theory available. This expanded edition features several additional chapters, as well as an entirely new section describing recent developments in quantum field theory such as gravitational waves, the helicity spinor formalism, on-shell gluon scattering, recursion relations for amplitudes with complex momenta, and the hidden connection between Yang-Mills theory and Einstein gravity. Zee also provides added exercises, explanations, and examples, as well as detailed appendices, solutions to selected exercises, and suggestions for further reading. The most accessible and comprehensive introductory textbook available Features a fully revised, updated, and expanded text Covers the latest exciting advances in the field Includes new exercises Offers a one-of-a-kind resource for students and researchers Leading universities that have adopted this book include: Arizona State University Boston University Brandeis University Brown University California Institute of Technology Carnegie Mellon College of William & Mary Cornell Harvard University Massachusetts Institute of Technology Northwestern University Ohio State University Princeton University Purdue University - Main Campus Rensselaer Polytechnic Institute Rutgers University - New Brunswick Stanford University University of California - Berkeley University of Central Florida University of Chicago University of Michigan University of Montreal University of Notre Dame Vanderbilt University Virginia Tech University
Windows 98 in a Nutshell
Author: Tim O'Reilly
Publisher: "O'Reilly Media, Inc."
Published: 1999
Total Pages: 646
ISBN-13: 9781565924864
DOWNLOAD EBOOKIn a concise and clear format, O'Reilly and Mott deliver all the pertinent information that Windows 98 users will need to know. The readers get both the nitty-gritty details and the bigger context as they learn about the Active Desktop, file management, and basic communication features.
R in a Nutshell
Author: Joseph Adler
Publisher: "O'Reilly Media, Inc."
Published: 2010-01-04
Total Pages: 636
ISBN-13: 1449383041
DOWNLOAD EBOOKWhy learn R? Because it's rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics. The author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language. Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems. Understand the basics of the language, including the nature of R objects Learn how to write R functions and build your own packages Work with data through visualization, statistical analysis, and other methods Explore the wealth of packages contributed by the R community Become familiar with the lattice graphics package for high-level data visualization Learn about bioinformatics packages provided by Bioconductor "I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians."
Practical Statistics for Data Scientists
Author: Peter Bruce
Publisher: "O'Reilly Media, Inc."
Published: 2017-05-10
Total Pages: 322
ISBN-13: 1491952911
DOWNLOAD EBOOKStatistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
