Cantitate/Preț
Produs
Total produse
Vezi coșul
Data Analysis: Statistical and Computational Methods for Scientists and Engineers de Siegmund Brandt

Data Analysis: Statistical and Computational Methods for Scientists and Engineers

Autor Siegmund Brandt
en Limba Engleză Hardback – 26 feb 2014
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 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, and in research and professional work.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (2) 40785 lei  6-8 săpt.
  Springer – 5 oct 2012 40785 lei  6-8 săpt.
  Springer International Publishing – 30 apr 2017 47282 lei  6-8 săpt.
Hardback (2) 41526 lei  6-8 săpt.
  Springer – 25 noi 1998 41526 lei  6-8 săpt.
  Springer International Publishing – 26 feb 2014 54992 lei  6-8 săpt.

Preț: 54992 lei

Preț vechi: 64696 lei
-15% Nou

Puncte Express: 825
Preț estimativ în valută:
10532€ • 10851$ • 8823£

Carte tipărită la comandă

Livrare economică 24 februarie-10 martie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319037615
ISBN-10: 3319037617
Pagini: 544
Ilustrații: XX, 523 p. 134 illus.
Dimensiuni: 178 x 254 x 35 mm
Greutate: 1.15 kg
Ediția:4th ed. 2014
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Public țintă

Graduate

Cuprins

Introduction.- Probabilities.- Random Variables: Distributions.- Computer-Generated Random Numbers: The Monte Carlo Method.- Some Important Distributions and Theorems.- Samples.- The Method of Maximum Likelihood.- Testing Statistical Hypotheses.- The Method of Least Squares.- Function Minimization.- Analysis of Variance.- Linear and Polynomial Regression.- Time-Series Analysis.- A) Matrix Calculations.- B) Combinatorics.- C) Formulas and Methods for the Computation of Statistical Functions.- D) The Gamma Function and Related Functions: Methods and Programs for their Computation.- E) Utility Programs.- F) The Graphics Class DatanGraphics.- G) Problems, Hints and Solutions and Programming Problems.- H) Collection of Formulas.- I) Statistical Formulas.- List of Computer Programs.

Notă biografică

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.

Textul de pe ultima copertă

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 at www.springer.com.
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, working for bachelor or master degrees, in thesis work, and in research and professional work.
“The book is concise, but gives a sufficiently rigorous mathematical treatment of practical statistical methods for data analysis; it can be of great use to all who are involved with data analysis.” Physicalia
“This lively and erudite treatise covers the theory of the main statistical tools and their practical applications…a first rate university textbook, and good background material for the practicing physicist.” Physics Bulletin
The Author
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.

Caracteristici

Provides rigorous mathematical treatment of practical statistical methods for data analysis Serves as a graduate textbook and reference guide for those interested in the fundamentals of data analysis Useful for all fields of science and engineering requiring an understanding of statistical methods applied to experimental data Includes example programs and solutions to programming problems which are written in the modern computer language Java Modernizes the content in the previous edition and shortens the length of the text Includes supplementary material: sn.pub/extras

Recenzii

From the reviews:
"The book is concise, but gives a sufficiently rigorous mathematical treatment of practical statistical methods for data analysis¿It can be of great use to all who are involved with data analysis." Physicalia
"... Serves as a nice reference guide for any scientist interested in the fundamentals of data analysis on the computer." The American Statistician