Data Analysis
Springer International Publishing (Verlag)
978-3-319-03761-5 (ISBN)
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.
Dr. Siegmund Brandt ist Professor für Physik an der Universität Siegen. Er arbeitet mit seiner Siegener Gruppe bei DESY und CERN an Experimenten zur Elementarteilchenphysik.
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.
Erscheint lt. Verlag | 26.2.2014 |
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Zusatzinfo | XX, 523 p. 134 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 178 x 254 mm |
Gewicht | 1160 g |
Themenwelt | Mathematik / Informatik ► Mathematik |
Naturwissenschaften ► Physik / Astronomie ► Allgemeines / Lexika | |
Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik | |
Schlagworte | Analysis of Variance • Computer-generated Random Numbers • Data Analysis Textbook • Data Analysis using Java • Datenanalyse • error propagation • Fundamentals of Data Analysis • Graduate-Level Data Analysis • Introduction to Statistical Methods • Java Programs for Data Analysis • Least Squares • linear regression • Matrix Algebra • Matrix Calculation • Monte Carlo methods • Polynomial Regression • Singular-Value Analysis • statistical distributions • Statistical Error • Testing Statistical Hypotheses • Time Series Analysis |
ISBN-10 | 3-319-03761-7 / 3319037617 |
ISBN-13 | 978-3-319-03761-5 / 9783319037615 |
Zustand | Neuware |
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