عنوان

Statistics and analysis of scientific data /

شابک

1493965700

شابک

9781493965700

شابک اشتباه

9781493965724

شماره

b623758

عنوان اصلي

Statistics and analysis of scientific data /

نام عام مواد

[Book]

نام نخستين پديدآور

Massimiliano Bonamente.

وضعيت ويراست

Second edition.

نام خاص و کميت اثر

xvii, 318 pages :

ساير جزييات

illustrations ;

ابعاد

25 cm.

عنوان فروست

Graduate texts in physics,

شاپا ي ISSN فروست

1868-4513

متن يادداشت

Includes bibliographical references (pages 311-312) and index.

متن يادداشت

Theory of Probability -- Random Variables and Their Distribution -- Three Fundamental Distributions: Binomial, Gaussian, and Poisson -- Functions of Random Variables and Error Propagation -- Maximum Likelihood and Other Methods to Estimate Variables -- Mean, Median, and Average Values of Variables -- Hypothesis Testing and Statistics -- Maximum Likelihood Methods for Two-Variable Datasets -- Multi-Variable Regression -- Goodness of Fit and Parameter Uncertainty -- Systematic errors and intrinsic scatter -- Fitting Two-Variable Datasets with Bivariate Errors -- Model Comparison -- Monte Carlo Methods -- Introduction to Markov Chains -- Mote Carlo Markov Chains -- Appendix: Numerical Tables.

بدون عنوان

0

متن يادداشت

The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribution functions of statistics, fits to two-dimensional data and parameter estimation, Monte Carlo methods and Markov chains. Features new to this edition include: {u2022} a discussion of statistical techniques employed in business science, such as multiple regression analysis of multivariate datasets. {u2022} a new chapter on the various measures of the mean including logarithmic averages. {u2022} new chapters on systematic errors and intrinsic scatter, and on the fitting of data with bivariate errors. {u2022} a new case study and additional worked examples. {u2022} mathematical derivations and theoretical background material have been appropriately marked,to improve the readability of the text. {u2022} end-of-chapter summary boxes, for easy reference. As in the first edition, the main pedagogical method is a theory-then-application approach, where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the material. The level is appropriate for undergraduates and beginning graduate students, and as a reference for the experienced researcher. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data, as well as exercises and examples to aid the readers' understanding of the topic.

موضوع مستند نشده

Mathematical statistics.

موضوع مستند نشده

Research-- Statistical methods.

موضوع مستند نشده

Mathematical statistics.

موضوع مستند نشده

Research-- Statistical methods.

شماره

519.23

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Bonamente, Massimiliano

تاريخ عمليات

20200617082855.0

قواعد فهرست نويسي ( بخش توصيفي )

rda

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y