[數(shù)據(jù)分析是王道]Data Analysis: Statistical and Computational Methods
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數(shù)據(jù)分析是王道2014新書數(shù)據(jù)分析：統(tǒng)計與計算方法DataAnalysis:StatisticalandComputationalMethodsforScientistsandEngineersbySiegmundBrandtEnglish|2014|ISBN:3319037617|523pages|PDF|10,6MB【作者簡介】Siegmu ...
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數(shù)據(jù)分析是王道
2014新書
數(shù)據(jù)分析：統(tǒng)計與計算方法
Data Analysis: Statistical and Computational Methods for Scientists and Engineers by Siegmund Brandt
English | 2014 | ISBN: 3319037617 | 523 pages | PDF | 10,6 MB
【作者簡介】
Siegmund Brandt is Emeritus Professor of Physics at the University of Siegen. With his group he worked on experiments in elementary-particle physics at the research centers DESY in Hamburg and CERN in Geneva in which the analysis of the experimental data plays an important role. He is author or coauthor of textbooks which have appeared in ten languages.
【教材簡介】
The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed.
It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The programs (source code, Java classes and documentation) and extensive appendices to the main text are available for free download from the book’s page
Contents
• Probabilities. Random variables.
• Random numbers and the Monte Carlo Method.
• Statistical distributions (binomial, Gauss, Poisson). Samples. Statistical tests.
• Maximum Likelihood. Least Squares. Regression. Minimization.
• Analysis of Variance. Time series analysis.
Audience
The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data
• in laboratory courses,
• in working for bachelor or master degrees,
• in thesis work,
• in research and professional work.
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[/hide]專業(yè)發(fā)布北美最流行數(shù)學經(jīng)管類教材，為及時下載，請點我頭像下方“+關注”，因我通常免費半天到一天。
下面這本書自然也是極好的...
[北美最流行]寫給菜鳥的離散數(shù)學
http://xalimeijing.com/thread-3000984-1-1.html
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