Statistical Mechanics (Pathria R. K.)(Paperback)

Statistical Mechanics (Pathria R. K.)(Paperback)

Statistical Mechanics, Fourth Edition explores the physical properties of matter based on the dynamic behavior of its microscopic constituents. This valuable textbook introduces the reader to the historical context of the subject before delving deeper into chapters about thermodynamics, ensemble

Introductory Statistical Mechanics (Bowley Roger)(Paperback)

This book explains the ideas and techniques of statistical mechanics--the theory of condensed matter--in a simple and progressive way. The text begins with the laws of thermodynamics and the basic ideas of quantum mechanics. The conceptual ideas are then developed carefully, and the mathematical

Statistical Mechanics: Entropy, Order Parameters, and Complexity: Second Edition (Sethna James)(Paperback)

Statistical mechanics is our tool for deriving the laws that emerge from complex systems. Sethna's text distills the subject to be accessible to those in all realms of science and engineering -- avoiding extensive use of quantum mechanics, thermodynamics, and molecular physics. Statistical

An Introduction to Statistical Mechanics and Thermodynamics (Swendsen Robert H.)(Pevná vazba)

An Introduction to Statistical Mechanics and Thermodynamics returns with a second edition which includes new chapters, further explorations, and updated information into the study of statistical mechanics and thermal dynamics. The first part of the book derives the entropy of the classical ideal

Statistical Mechanics (Riseborough Peter S.)(Paperback)

The book is aimed at undergraduate students in their senior year and first year graduate students. It elucidates the basis of thermodynamics and provides a basis for the understanding of, not only the thermodynamic properties of a microscopic system, but also their fluctuations, correlations and

Non-Equilibrium Statistical Mechanics (Prigogine Ilya)(Paperback)

Ilya Prigogine won the 1977 Nobel Prize in Chemistry for his contributions to non-equilibrium thermodynamics. This groundbreaking 1962 monograph, written for researchers and graduate students in this field, was his first book-length contribution to this subject. Suitable for advanced undergraduates

Beginning R: The Statistical Programming Language (Gardener Mark)(Paperback)

Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates

Statistical Mechanics: A Set Of Lectures (Feynman Richard P.)(Paperback)

First Published in 2018. Routledge is an imprint of Taylor & Francis, an Informa

Statistical Thermodynamics (Schrodinger Erwin)(Paperback)

In this concise volume, one of the founder of quantum mechanics and one of the greatest theoretical physicists of the century (Nobel laureate, 1933) attempts to develop a simple, unified standard method of dealing with all cases of statistical thermodynamics (classical, quantum, Bose-Einstein,

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Ismay Chester)(Paperback)

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for

The Art of R Programming: A Tour of Statistical Software Design (Matloff Norman)(Paperback)

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running

The Conceptual Foundations of the Statistical Approach in Mechanics (Ehrenfest Paul)(Paperback)

In this concise classic, Paul Ehrenfest one of the twentieth century's greatest physicists reformulated the foundations of the statistical approach in mechanics. Originally published in 1912, this classic has lost little of its scientific and didactic value, and is suitable for advanced

Practical R for Biologists: An Introduction (Quicke Donald)(Paperback)

R is a freely available, open-source statistical programming environment which provides powerful statistical analysis tools and graphics outputs. R is now used by a very wide range of people; biologists (the primary audience of this book), but also all other scientists and engineers, economists,

An Introduction to Statistical Learning: With Applications in R (James Gareth)(Pevná vazba)

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years

Statistical Analysis with R for Dummies (Schmuller Joseph)(Paperback)

Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational

Quantitative Methods in Archaeology Using R (Carlson David L.)(Paperback)

Quantitative Methods in Archaeology Using R is the first hands-on guide to using the R statistical computing system written specifically for archaeologists. It shows how to use the system to analyze many types of archaeological data. Part I includes tutorials on R, with applications to real

Statistics Explained (Hinton Perry R.)(Paperback)

Statistics Explained is an accessible introduction to statistical concepts and ideas. It makes few assumptions about the reader's statistical knowledge, carefully explaining each step of the analysis and the logic behind it. The book: provides a clear explanation of statistical analysis and the

World Food and Agriculture - Statistical Pocketbook 2020 (Food and Agriculture Organization)(Paperback)

FAO's Statistical Pocketbook complements the Statistical Yearbook [link to the yearbook if possible], by providing, in an easy and simple way, quick access to top-level numbers, charts and maps on many dimensions of food and agriculture - from the characteristics of the sector to production, prices

Elementary Statistical Physics (Kittel Charles)(Paperback)

Getting Started with R: An Introduction for Biologists (Beckerman Andrew P.)(Paperback)

R is rapidly becoming the standard software for statistical analyses, graphical presentation of data, and programming in the natural, physical, social, and engineering sciences. Getting Started with R is now the go-to introductory guide for biologists wanting to learn how to use R in their

100 Statistical Tests (Kanji Gopal K.)(Paperback)

This expanded and updated Third Edition of Gopal K. Kanji′s best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. Each entry begins with a short summary statement about the test′s

An Introduction to Statistical Genetic Data Analysis (Mills Melinda C.)(Paperback)

A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics.Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology,

Handbook of Statistical Bioinformatics (Lu Henry Horng)(Paperback)

I: Accuracy Assessment of Consensus Sequence from Shotgun Sequencing.- Statistical and Computational Studies on Alternative Splicing.- Using Sequence Information to Predict TF-DNA Binding.- Computational Promoter Prediction in a Vertebrate Genome.- Discovering Influential Variables: A General

Local Elections in Britain - A Statistical Digest(Paperback / softback)