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Book
Statistical and computational methods in data analysis
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ISBN: 0720403340 9780720403343 Year: 1976 Publisher: Amsterdam North-Holland

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Book
Data Analysis : Statistical and Computational Methods for Scientists and Engineers
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ISBN: 3319037617 3319037625 Year: 2014 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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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.


Book
The harvest of a century : discoveries in modern physics in 100 episodes
Author:
ISBN: 1282053329 9786612053320 0191562629 9780191562624 0199544697 9780199544691 1383045135 Year: 2023 Publisher: Oxford : Oxford University Press,

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Physics was the leading science of the 20th century. This book retraces important discoveries, made between 1895 and 2001, in 100 self-contained episodes. Each is a short story of the scientists involved, their time and their work. The book is richly illustrated by about 600 portraits, photographs and figures.


Book
Statistical and computational methods in data analysis
Author:
Year: 1978 Publisher: Amsterdam: North-Holland,

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Digital
Data Analysis : Statistical and Computational Methods for Scientists and Engineers
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ISBN: 9783319037622 Year: 2014 Publisher: Cham Springer International Publishing

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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.


Book
Statistical and computational methods in data analysis
Author:
Year: 1976 Publisher: Amsterdam North-Holland

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Book
Datenanalyse für Naturwissenschaftler und Ingenieure : Mit statistischen Methoden und Java-Programmen
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ISBN: 3642376649 Year: 2013 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer Spektrum,

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Die fünfte Auflage dieses erfolgreichen Buchs gibt eine umfassende Einführung in statistische und numerische Methoden zur Auswertung empirischer und experimenteller Daten. Statistische Theorie und praktische Probleme werden gleichermaßen behandelt: Es wird eine knappe mathematische Formulierung benutzt, ohne dabei die Anwendungen zu vernachlässigen, die in vielen Beispielen dargestellt werden. Für diese Auflage wurde eine Bibliothek von Java-Programmen entwickelt. Sie umfasst Methoden der rechnerischen Datenanalyse und der graphischen Darstellung sowie zahlreiche Beispielprogramme und Lösungen zu Programmieraufgaben. Die Programme (Quellcode und Java-Klassen, Dokumentation) und ausführliche Anhänge zum Haupttext des Buches stehen im Internet unter www.springer.com auf der Seite zum Buch zur Verfügung. Der Inhalt - Wahrscheinlichkeitsrechnung, Zufallsvariable - Zufallszahlen und Monte-Carlo-Methode - Statistische Verteilungen (Binomial-, Gauß-, Poisson-Verteilung), Stichproben, statistische Tests - Maximum Likelihood, kleinste Quadrate, Regression, Minimierung - Varianzanalyse und Zeitreihenanalyse - Anhänge zu mathematischen Hilfsmethoden und zu den Programmen Die Zielgruppen Das Buch ist konzipiert als Einführung für jüngere Leserinnen und Leser und als Nachschlagewerk für erfahrenere. Es wendet sich insbesondere an Studierende, Wissenschaftler und Praktiker der Natur- und Ingenieurwissenschaften als Hilfe bei der Analyse ihrer Daten - im Praktikum - in Bachelor- und Master-Arbeiten - in Dissertationen - in Forschung und Beruf. Der Autor Siegmund Brandt ist emeritierter Professor der Physik an der Universität Siegen. Mit seiner Gruppe arbeitete er an Experimenten zur Elementarteilchenphysik an den Forschungszentren DESY in Hamburg und CERN in Genf, bei denen die Auswertung der experimentell gewonnenen Daten eine wichtige Rolle spielt. Er ist Autor bzw. Koautor von Lehrbüchern, die in zehn Sprachen erschienen sind.

Data analysis : statistical and computational methods for scientists and engineers
Authors: ---
ISBN: 0387984984 1461271479 1461214467 9780387984988 Year: 1999 Publisher: New York (N.Y.) Springer

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1. 1 Typical Problems of Data Analysis Every branch of experimental science, after passing through an early stage of qualitative description, concerns itself with quantitative studies of the phe­ nomena of interest, i. e. , measurements. In addition to designing and carrying out the experiment, an importal1t task is the accurate evaluation and complete exploitation of the data obtained. Let us list a few typical problems. 1. A study is made of the weight of laboratory animals under the influence of various drugs. After the application of drug A to 25 animals, an average increase of 5 % is observed. Drug B, used on 10 animals, yields a 3 % increase. Is drug A more effective? The averages 5 % and 3 % give practically no answer to this question, since the lower value may have been caused by a single animal that lost weight for some unrelated reason. One must therefore study the distribution of individual weights and their spread around the average value. Moreover, one has to decide whether the number of test animals used will enable one to differentiate with a certain accuracy between the effects of the two drugs. 2. In experiments on crystal growth it is essential to maintain exactly the ratios of the different components. From a total of 500 crystals, a sample of 20 is selected and analyzed.


Book
The picture book of quantum mechanics
Authors: ---
ISBN: 0471817767 047163266X 9780471632665 9780471817765 Year: 1985 Publisher: New York, N.Y. John Wiley & Sons

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