Articoli correlati a Data Analysis: Statistical and Computational Methods...

Data Analysis: Statistical and Computational Methods for Scientists and Engineers - Rilegato

Brandt, Siegmund

 
9780387984988: Data Analysis: Statistical and Computational Methods for Scientists and Engineers

Sinossi

Bridging the gap between statistical theory and physical experiment, this is a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them. The treatment emphasises concise but rigorous mathematics but always retains its focus on applications. Readers are assumed to have a sound basic knowledge of differential and integral calculus and some knowledge of vectors and matrices. After an introduction to probability, random variables, computer generation of random numbers and important distributions, the book turns to statistical samples, the maximum likelihood method, and the testing of statistical hypotheses. The discussion concludes with several important statistical methods: least squares, analysis of variance, polynomial regression, and analysis of time series. Appendices provide the necessary methods of matrix algebra, combinatorics, and many sets of useful algorithms and formulae.

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Informazioni sull'autore

Siegmund Brandt war Experimentalphysiker an der Universität Siegen, Aktivität im ALEPH-Experiment am CERN, Autor zahlreicher Bücher u.a. zur klassischen Physik, Quantenmechanik und Datenanalyse. Hans Dieter Dahmen, theoretischer Teilchenphysiker in Siegen, befasste sich mit Schwachen Wechselwirkungen und Vielteilchenphysik, schrieb Physikbücher zusammen mit S. Brandt. Claus Grupen, arbeitete auf dem Gebiet der Teilchenphysik und Astroteilchenphysik. Autor zahlreicher Bücher zur Physik und zum Strahlenschutz, schrieb auch Beiträge zur Kunst. Tilo Stroh, Universität Stuttgart, theoretischer Physiker mit Schwerpunkt Quantenmechanik. Beteiligung u.a. an Büchern von Brandt/Dahmen.

Dalla quarta di copertina

This text, intended for beginning graduate students, bridges the gap between statistical theory and physcal experiment. It provides a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them.

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