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	Provedor de dados AgEcon (1) Anais da ABC (AABC) (1) Autor CORDEIRO,GAUSS M. (1) Cox, Nicholas J. (1) LIMA,MARIA DO CARMO S. (1) NASCIMENTO,ABRAÃO D.C. (1) SILVA,KÁSSIO F. (1) Palavra-chave Quantile function (2) Bin width (1) Density function (1) Distplot (1) Distribution function (1) Dotplot (1) Extended Lindley model (1) GBG generator (1) Graphics (1) Histogram (1) Intensity function (1) Kdensity (1) Kernel estimation (1) Lambert function (1) Logarithmic scale (1) Onewayplot (1) Qplot (1) Remission times (1) Research Methods/ Statistical Methods (1) Root scale (1) Mais... Tipo do documento Info:eu-repo/semantics/article (1) Journal Article (1) Ano 2017 (1) 2004 (1) País Brazil (1) United States (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Speaking Stata: Graphing distributions AgEcon Cox, Nicholas J.. Graphing univariate distributions is central to both statistical graphics, in general, and Stata’s graphics, in particular. Now that Stata 8 is out, a review of official and user-written commands is timely. The emphasis here is on going beyond what is obviously and readily available, with pointers to minor and major trickery and various user-written commands. For plotting histogram-like displays, kernel-density estimates and plots based on distribution functions or quantile functions, a large variety of choices is now available to the researcher. Tipo: Journal Article Palavras-chave: Graphics; Histogram; Spikeplot; Dotplot; Onewayplot; Kdensity; Distplot; Qplot; Skewplot; Bin width; Rug; Density function; Kernel estimation; Transformations; Logarithmic scale; Root scale; Intensity function; Distribution function; Quantile function; Skewness; Research Methods/ Statistical Methods. Ano: 2004 URL: http://purl.umn.edu/116213 A new model for describing remission times: the generalized beta-generated Lindley distribution Anais da ABC (AABC) LIMA,MARIA DO CARMO S.; CORDEIRO,GAUSS M.; NASCIMENTO,ABRAÃO D.C.; SILVA,KÁSSIO F.. New generators are required to define wider distributions for modeling real data in survival analysis. To that end we introduce the four-parameter generalized beta-generated Lindley distribution. It has explicit expressions for the ordinary and incomplete moments, mean deviations, generating and quantile functions. We propose a maximum likelihood procedure to estimate the model parameters, which is assessed through a Monte Carlo simulation study. We also derive an additional estimation scheme by means of least square between percentiles. The usefulness of the proposed distribution to describe remission times of cancer patients is illustrated by means of an application to real data. Tipo: Info:eu-repo/semantics/article Palavras-chave: GBG generator; Remission times; Extended Lindley model; Quantile function; Lambert function. Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000401343 Registros recuperados: 2 Primeira ... 1 ... Última

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