000			05337nam a22005415i 4500
001			978-3-319-65112-5
003			DE-He213
005			20210118120630.0
007			cr nn 008mamaa
008			171010s2017 gw | s |||| 0|eng d
020			_a9783319651125 _9978-3-319-65112-5
024	7		_a10.1007/978-3-319-65112-5 _2doi
050		4	_aQA276-280
072		7	_aPBT _2bicssc
072		7	_aMAT029000 _2bisacsh
072		7	_aPBT _2thema
082	0	4	_a519.5 _223
100	1		_aThomopoulos, Nick T. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aStatistical Distributions _h[electronic resource] : _bApplications and Parameter Estimates / _cby Nick T. Thomopoulos.
250			_a1st ed. 2017.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017.
300			_aXVII, 172 p. 22 illus., 21 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aStatistical Concepts -- Continuous Uniform -- Exponential -- Erlang -- Gamma -- Beta -- Weibull -- Normal -- Lognormal -- Left Truncated Normal -- Right Truncated Normal -- Triangular -- Discrete Uniform -- Binomial -- Geometric -- Pascal -- Poisson -- Hyper-Geometric -- Bivariate Normal -- Bivariate Lognormal.
520			_aThis book gives a description of the group of statistical distributions that have ample application to studies in statistics and probability. Understanding statistical distributions is fundamental for researchers in almost all disciplines. The informed researcher will select the statistical distribution that best fits the data in the study at hand. Some of the distributions are well known to the general researcher and are in use in a wide variety of ways. Other useful distributions are less understood and are not in common use. The book describes when and how to apply each of the distributions in research studies, with a goal to identify the distribution that best applies to the study. The distributions are for continuous, discrete, and bivariate random variables. In most studies, the parameter values are not known a priori, and sample data is needed to estimate parameter values. In other scenarios, no sample data is available, and the researcher seeks some insight that allows the estimate of the parameter values to be gained. This handbook of statistical distributions provides a working knowledge of applying common and uncommon statistical distributions in research studies. These nineteen distributions are: continuous uniform, exponential, Erlang, gamma, beta, Weibull, normal, lognormal, left-truncated normal, right-truncated normal, triangular, discrete uniform, binomial, geometric, Pascal, Poisson, hyper-geometric, bivariate normal, and bivariate lognormal. Some are from continuous data and others are from discrete and bivariate data. This group of statistical distributions has ample application to studies in statistics and probability and practical use in real situations. Additionally, this book explains computing the cumulative probability of each distribution and estimating the parameter values either with sample data or without sample data. Examples are provided throughout to guide the reader. Accuracy in choosing and applying statistical distributions is particularly imperative for anyone who does statistical and probability analysis, including management scientists, market researchers, engineers, mathematicians, physicists, chemists, economists, social science researchers, and students in many disciplines. Includes 89 examples that help the reader apply the concepts presented Explains how to compute cumulative probability for all distributions including Erlang, gamma, beta, Weibull, normal, and lognormal Utilizes sample data to estimate parameter values of each distribution Estimates parameter values when no sample data Introduces Left-Truncated Normal Introduces Right-Truncated Normal Introduces Spread Ratio.
650		0	_aStatistics .
650		0	_aProbabilities.
650	1	4	_aStatistical Theory and Methods. _0http://scigraph.springernature.com/things/product-market-codes/S11001
650	2	4	_aProbability Theory and Stochastic Processes. _0http://scigraph.springernature.com/things/product-market-codes/M27004
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319651118
776	0	8	_iPrinted edition: _z9783319651132
776	0	8	_iPrinted edition: _z9783319879529
856	4	0	_uhttps://doi.org/10.1007/978-3-319-65112-5
912			_aZDB-2-SMA
999			_c444711 _d444711
942			_cEB
506			_aAvailable to subscribing member institutions only. Доступно лише організаціям членам підписки.
506			_fOnline access from local network of NaUOA.
506			_fOnline access with authorization at https://link.springer.com/
506			_fОнлайн-доступ з локальної мережі НаУОА.
506			_fОнлайн доступ з авторизацією на https://link.springer.com/