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008			220601s2021 sz | s |||| 0|eng d
020			_a9783031024306
024	7		_a10.1007/978-3-031-02430-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA273.6 _b2021 EB
100	1		_aChattamvelli, Rajan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686393
245	1	0	_aContinuous Distributions in Engineering and the Applied Sciences : _cby Rajan Chattamvelli, Ramalingam Shanmugam _bPart I
250			_a1st edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XXII, 151 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 -- Preface -- Glossary of Terms -- Continuous Random Variables -- Rectangular Distribution -- Exponential Distribution -- Beta Distribution -- Arcsine Distribution -- Gamma Distribution -- Cosine Distribution -- Normal Distribution -- Cauchy Distribution -- Bibliography -- Authors' Biographies -- Index.
520			_aThis is an introductory book on continuous statistical distributions and its applications. It is primarily written for graduate students in engineering, undergraduate students in statistics, econometrics, and researchers in various fields. The purpose is to give a self-contained introduction to most commonly used classical continuous distributions in two parts. Important applications of each distribution in various applied fields are explored at the end of each chapter. A brief overview of the chapters is as follows. Chapter 1 discusses important concepts on continuous distributions like location-and-scale distributions, truncated, size-biased, and transmuted distributions. A theorem on finding the mean deviation of continuous distributions, and its applications are also discussed. Chapter 2 is on continuous uniform distribution, which is used in generating random numbers from other distributions. Exponential distribution is discussed in Chapter 3, and its applications briefly mentioned. Chapter 4 discusses both Beta-I and Beta-II distributions and their generalizations, as well as applications in geotechnical engineering, PERT, control charts, etc. The arcsine distribution and its variants are discussed in Chapter 5, along with arcsine transforms and Brownian motion. This is followed by gamma distribution and its applications in civil engineering, metallurgy, and reliability. Chapter 7 is on cosine distribution and its applications in signal processing, antenna design, and robotics path planning. Chapter 8 discusses the normal distribution and its variants like lognormal, and skew-normal distributions. The last chapter of Part I is on Cauchy distribution, its variants and applications in thermodynamics, interferometer design, and carbon-nanotube strain sensing. A new volume (Part II) covers inverse Gaussian, Laplace, Pareto, 2, T, F, Weibull, Rayleigh, Maxwell, and Gumbel distributions.
988			_aSynthesis Collection of Technology_2021
650		7	_2embne _9139568 _aCiencia _xMétodos estadísticos
650		7	_2embne _9159166 _aDistribución (Teoría de probabilidades)
650		7	_2embne _9670301 _aIngeniería _xMétodos estadísticos
700	1		_aShanmugam, Ramalingam _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686394
776	0	8	_iPrinted edition: _z9783031002762
776	0	8	_iPrinted edition: _z9783031013027
776	0	8	_iPrinted edition: _z9783031035586
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02430-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _esc _zSI