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	Provedor de dados AgEcon (4) Autor Newson, Roger (2) Alarcón, Silverio (1) Cao, Kay (1) Scrimgeour, Frank G. (1) Palavra-chave Nonparametric methods (4) Research Methods/ Statistical Methods (3) Confidence intervals (2) ROC area (2) Rank correlation (2) Rank-sum test (2) Somers' D (2) Wilcoxon test (2) Agricultural Finance (1) Agricultural and Food Policy (1) Agricultural sector (1) Crop Production/Industries (1) Debt financing (1) Efficiency (1) Environmental Economics and Policy (1) Farm Management (1) Gehan test (1) Gini index (1) HACCP/RMP implementation (1) Harrell's C (1) Mais... Tipo do documento Conference Paper or Presentation (2) Journal Article (2) Ano 2007 (1) 2006 (1) 2004 (1) 2002 (1) País United States (4) Idioma Inglês (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 Primeira ... 1 ... Última Parameters behind “nonparametric” statistics: Kendall's tau, Somers' D and median differences AgEcon Newson, Roger. So-called “nonparametric” statistical methods are often in fact based on population parameters, which can be estimated (with confidence limits) using the corresponding sample statistics. This article reviews the uses of three such parameters, namely Kendall’s τα Somers’ D, and the Hodges–Lehmann median difference. Confidence intervals for these are demonstrated using the somersd package. It is argued that confidence limits for these parameters, and their differences, are more informative than the traditional practice of reporting only p-values. These three parameters are also important in defining other tests and parameters, such as the Wilcoxon test, the area under the receiver operating characteristic (ROC) curve, Harrell’s C, and the Theil median slope. Tipo: Journal Article Palavras-chave: Confidence intervals; Gehan test; Harrell's C; Hodges–Lehmann median difference; Kendall's tau; Nonparametric methods; Rank correlation; Rank-sum test; ROC area; Somers' D; Theil median slope; Wilcoxon test; Research Methods/ Statistical Methods. Ano: 2002 URL: http://purl.umn.edu/115950 Confidence intervals for rank statistics: Somers' D and extensions AgEcon Newson, Roger. Somers’ D is an asymmetric measure of association between two variables, which plays a central role as a parameter behind rank or nonparametric statistical methods. Given predictor variable X and outcome variable Y , we may estimate DYX as a measure of the effect of X on Y , or we may estimate DXY as a performance indicator of X as a predictor of Y. The somersd package allows the estimation of Somers’ D and Kendall’s τα with confidence limits as well as p-values. The Stata 9 version of somersd can estimate extended versions of Somers’ D not previously available, including the Gini index, the parameter tested by the sign test, and extensions to left- or right-censored data. It can also estimate stratified versions of Somers’ D, restricted to pairs in the... Tipo: Journal Article Palavras-chave: Somersd; Somers' D; Kendall's τ_a; Harrell's c; ROC area; Gini index; Population-attributable risk; Rank correlation; Rank-sum test; Wilcoxon test; Sign test; Confidence intervals; Nonparametric methods; Propensity score; Research Methods/ Statistical Methods. Ano: 2006 URL: http://purl.umn.edu/117583 A Nonparametric Approach to The Analysis of HACCP/RMP Implementation Process AgEcon Cao, Kay; Scrimgeour, Frank G.. In this paper we conduct an analysis of the implementation of HACCP/RMP in the NZ Meat Industry based on the data collected from our recent survey. Nonparametric methods are used to measure the association between plant characteristics such as size, age, activities, and food safety management practices and HACCP/RMP adoption motivations, implementation problems, benefits, and costs. Results give insights into the ongoing process of mandatory RMP in New Zealand. Tipo: Conference Paper or Presentation Palavras-chave: HACCP/RMP implementation; New Zealand Meat Industry; Nonparametric methods; Agricultural and Food Policy; Crop Production/Industries; Environmental Economics and Policy; Farm Management; Land Economics/Use; Livestock Production/Industries; Research Methods/ Statistical Methods. Ano: 2004 URL: http://purl.umn.edu/97786 Debt Financing and Efficiency in Agricultural Firms AgEcon Alarcón, Silverio. In this work the effects of large- and short-term debts on efficiency are tested on a set of agricultural firms. Accounting data of crop, livestock, mixed and service firms are used. First, the efficiencies of the farms are obtained by using nonparametric methods (input-oriented DEA). Then, in a second stage, censored regressions are run with different kinds of explicative variables, including financial ratios. The results show a significative and positive relationship between short-term indebtedness and efficiency, which would be agree with some theories positing that firms with higher short-run obligations make additional efforts to satisfy their payments, and this leads to an improvement of efficiency. Tipo: Conference Paper or Presentation Palavras-chave: Debt financing; Efficiency; Agricultural sector; Nonparametric methods; Agricultural Finance. Ano: 2007 URL: http://purl.umn.edu/9436 Registros recuperados: 4 Primeira ... 1 ... Última

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