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007			cr nn 008mamaa
008			220601s2020 sz | o |||| 0|eng d
020			_a9783031024252
024	7		_a10.1007/978-3-031-02425-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA340 _b2020 EB
100	1		_aChattamvelli, Rajan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686393
245	1	0	_aDiscrete Distributions in Engineering and the Applied Sciences _cby Rajan Chattamvelli, Ramalingam Shanmugam
250			_a1st edition 2020
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XXI, 205 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Mathematics & Statistics _x1938-1751
505	0		_aList of Figures -- List of Tables -- Glossary -- Discrete Random Variables -- Binomial Distribution -- Discrete Uniform Distribution -- Geometric Distribution -- Negative Binomial Distribution -- Poisson Distribution -- Hypergeometric Distribution -- Negative Hypergeometric Distribution -- Logarithmic Series Distribution -- Multinomial Distribution -- Bibliography -- Authors' Biographies -- Index .
520			_aThis is an introductory book on discrete statistical distributions and its applications. It discusses only those that are widely used in the applications of probability and statistics in everyday life. The purpose is to give a self-contained introduction to classical discrete distributions in statistics. Instead of compiling the important formulas (which are available in many other textbooks), we focus on important applications of each distribution in various applied fields like bioinformatics, genomics, ecology, electronics, epidemiology, management, reliability, etc., making this book an indispensable resource for researchers and practitioners in several scientific fields. Examples are drawn from different fields. An up-to-date reference appears at the end of the book. Chapter 1 introduces the basic concepts on random variables, and gives a simple method to find the mean deviation (MD) of discrete distributions. The Bernoulli and binomial distributions are discussed in detail in Chapter 2. A short chapter on discrete uniform distribution appears next. The next two chapters are on geometric and negative binomial distributions. Chapter 6 discusses the Poisson distribution in-depth, including applications in various fields. Chapter 7 is on hypergeometric distribution. As most textbooks in the market either do not discuss, or contain only brief description of the negative hypergeometric distribution, we have included an entire chapter on it. A short chapter on logarithmic series distribution follows it, in which a theorem to find the kth moment of logarithmic distribution using (k-1)th moment of zero-truncated geometric distribution is presented. The last chapter is on multinomial distribution and its applications. The primary users of this book are professionals and practitioners in various fields of engineering and the applied sciences. It will also be of use to graduate students in statistics, research scholars in science disciplines, and teachers of statistics, biostatistics, biotechnology, education, and psychology.
988			_aSynthesis Collection of Technology_2020
650		7	_2embne _9405075 _aProbabilidades
650		7	_2embne _9138936 _aEstadística matemática
650		7	_2embne _9670301 _aIngeniería _xModelos matemáticos
700	1		_aShanmugam, Ramalingam _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686394
776	0	8	_iPrinted edition: _z9783031002717
776	0	8	_iPrinted edition: _z9783031012976
776	0	8	_iPrinted edition: _z9783031035531
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02425-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eb _zSI