Electronic Resource

Statistics and analysis of scientific data

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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, fits to two-dimensional datasheets and parameter estimation, Monte Carlo methods and Markov chains. Equal attention is paid to the theory and its practical application, and results from classic experiments in various fields are used to illustrate the importance of statistics in the analysis of scientific data.

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 proactive use of the material for practical applications. 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 students' understanding of the topic.

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Ketersediaan

Informasi Detail

Judul Seri

Graduate Texts in Physics (GTP)

No. Panggil

E1628

Penerbit

New York : Springer., 2013

Deskripsi Fisik

xv, 301 hlm. : il. warna.

Bahasa

English

ISBN/ISSN

9781461479840

Klasifikasi

NONE

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

-

Subjek

Teori Probabilitas dan Proses Stokastik
Teori Probabilitas dan Statistik
Data Ilmiah : Analisa

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Massimiliano Bonamente

Versi lain/terkait

Lampiran Berkas

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