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	Provedor de dados AgEcon (2) Autor Cox, Nicholas J. (1) Newson, Roger (1) Smeeton, Nigel (1) Palavra-chave P-value (2) Research Methods/ Statistical Methods (2) Alternation (1) Categorical data (1) Clustering (1) Conditional distribution (1) Confidence interval (1) Descsave (1) Dsconcat (1) Eclplot (1) Estimation results (1) Factext (1) Forvalues (1) HTML (1) Ingap (1) LaTeX (1) Lincomest (1) Listtex (1) Parmest (1) Permutation (1) Mais... Tipo do documento Journal Article (2) Ano 2003 (2) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Do-it-yourself shuffling and the number of runs under randomness AgEcon Smeeton, Nigel; Cox, Nicholas J.. A common class of problem in statistical science is estimating, as a benchmark, the probability of some event under randomness. For example, in a sequence of events in which several outcomes are possible and the length of the sequence and number of outcomes of each type known, the number of runs gives an indication of whether the outcomes are random, clustered, or alternating. This note explains and illustrates a simple method of random shuffling that is often useful. We show how the conditional probability distribution of the number of runs may be derived easily in Stata, thus yielding p-values for testing the null hypothesis that the type of outcome is random. We also compare our direct approach with that using the simulate command. Tipo: Journal Article Palavras-chave: Alternation; Categorical data; Clustering; Conditional distribution; Forvalues; P-value; Permutation; Run; Sequence; Simulate; Simulation; Research Methods/ Statistical Methods. Ano: 2003 URL: http://purl.umn.edu/116095 Confidence intervals and p-values for delivery to the end user AgEcon Newson, Roger. Statisticians make their living producing confidence intervals and pvalues. However, those in the Stata log are not ready for delivery to the end user, who usually wants to see statistical output either as a plot or as a table. This article describes a suite of programs used to convert Stata results to one or other of these forms. The eclplot package creates plots of estimates with confidence intervals, and the listtex package outputs a Stata dataset in the form of table rows that can be inserted into a plain TeX, LaTeX, HTML, or word processor table. To create a Stata dataset that can be output in these ways, we can use the parmest, dsconcat, and lincomest packages to create datasets with one observation per estimated parameter; the sencode, tostring,... Tipo: Journal Article Palavras-chave: Confidence interval; P-value; Plot; Table; Estimation results; TeX; LaTeX; HTML; Word processor; Presentation; Eclplot; Listtex; Parmest; Dsconcat; Lincomest; Sencode; Tostring; Ingap; Reshape; Descsave; Factext; Research Methods/ Statistical Methods. Ano: 2003 URL: http://purl.umn.edu/116091 Registros recuperados: 2 Primeira ... 1 ... Última

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