Thermodynamics and Introductory Statistical Mechanics
Автор: Bruno Linder
Год издания: 0000
In this clear and concise introduction to thermodynamics and statistical mechanics the reader, who will have some previous exposure to thermodynamics, will be guided through each of the two disciplines separately initially to provide an in-depth understanding of the area and thereafter the connection between the two is presented and discussed. In addition, mathematical techniques are introduced at appropriate times, highlighting such use as: exact and inexact differentials, partial derivatives, Caratheodory's theorem, Legendre transformation, and combinatory analysis. * Emphasis is placed equally on fundamentals and applications * Several problems are included
A treatise on mechanics
Автор: Henry Kater
Год издания:
Полный вариант заголовка: «A treatise on mechanics / conducted by the Dionysius Lardner ; assisted by eminent literary and scientific men ; by Henry Kater and Dionysius Lardner».
Буква-1. Вводный лексико-фонетический курс с элементами грамматики / Letter-1. Introductory lexical and phonetic course with elements of grammar
Автор: Валентина Ермаченкова
Год издания:
Пособие «Буква-1» предназначено для студентов и стажеров, начинающих изучать русский язык, и рассчитано на 40–60 часов (2–3 недели) аудиторной работы. В пособии представлены все виды речевой деятельности: чтение, письмо, аудирование, грамматика и говорение. Учащиеся осваивают нужное количество лексических единиц (780), получают возможность удовлетворять первоначальные потребности в общении и переходить к дальнейшему изучению русского языка. Рекомендуется для курсового обучения под руководством преподавателя, а также для самостоятельного изучения русского языка; снабжено комментариями на английском языке.
Statistical Analysis with R For Dummies
Автор: Joseph Schmuller
Год издания:
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 statistical concepts that R addresses—as well as step-by-step guidance that shows you exactly how to implement them using R programming. People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few commands, making sophisticated analyses available and understandable to a wide audience. Statistical Analysis with R For Dummies enables you to perform these analyses and to fully understand their implications and results. Gets you up to speed on the #1 analytics/data science software tool Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling Shows you how R offers intel from leading researchers in data science, free of charge Provides information on using R Studio to work with R Get ready to use R to crunch and analyze your data—the fast and easy way!