Statistics and analysis of scientific data

Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data. Topics covered include probability theory, distribution functions of statistics,...

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Bibliografske podrobnosti
Glavni avtor: Bonamente, Massimiliano
Format: Livre numérique
Jezik:Anglais
Izdano: New York, NY : Springer New York 2013.
Cham : Springer Nature
Serija:Graduate Texts in Physics
Teme:
Online dostop:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Sporočilo: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Statistics and analysis of scientific data, Massimiliano Bonamente, 2013, New York (N.Y), Springer, 1 vol. (xv-301 p.), Graduate Texts in Physics, 978-1-4614-7983-3
Kazalo:
  • Theory of Probability Random Variables and Their Distribution Sum and Functions of Random Variables Estimate of Mean and Variance and Confidence Intervals Distribution Function of Statistics and Hypothesis Testing Maximum Likelihood Fit to a Two-Variable Dataset Goodness of Fit and Parameter Uncertainty Comparison Between Models Monte Carlo Methods Markov Chains and Monte Carlo Markov Chains A: Numerical Tables B: Solutions