Type I Error Rate
Mostrando 1-12 de 31 artigos, teses e dissertações.
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1. Adjusting the Scott-Knott cluster analyses for unbalanced designs
Abstract The Scott-Knott cluster analysis is an alternative approach to mean comparisons with high power and no subset overlapping. It is well suited for the statistical challenges in agronomy associated with testing new cultivars, crop treatments, or methods. The original Scott-Knott test was developed to be used under balanced designs; therefore, the loss
Crop Breed. Appl. Biotechnol.. Publicado em: 2017-03
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2. Prognostic factors on survival rate of fingers replantation
Objective: To evaluate the factors that influence the survival rate of replantation and revascularization of the thumb and/or fingers.Methods: We included fifty cases treated in our department from May 2012 to October 2013 with total or partial finger amputations, which had blood perfusion deficit and underwent vascular anastomosis. The parameters evaluated
Acta ortop. bras.. Publicado em: 2015-02
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3. The improved arrhenius model with variable parameters of flow behavior characterizing for the as-cast AZ80 magnesium alloy
In order to study the hot working behaviour of as-cast AZ80 magnesium alloy, a series of isothermal upsetting tests with height reduction of 60% were performed at the temperature range of 523-673 K and the strain rate range of 0.01-10 s-1 on a servo-hydraulic Gleeble-1500 machine simulator. Based on the regression analysis for Arrhenius type equation of flow
Mat. Res.. Publicado em: 14/05/2013
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4. PRESSUPOSTO DA NORMALIDADE MULTIVARIADA PARA O TESTE DE RAZÃO DE VEROSSIMILHANÇA ENTRE DOIS GRUPOS DE CARACTERES DE MAMONEIRA / ASSUMPTION OF MULTIVARIATE NORMALITY FOR THE LIKELIHOOD RATIO TEST BETWEEN TWO GROUPS OF CHARACTERS OF CASTOR BEANS
The likelihood ratio test for independence between two groups of variables allows us to identify whether there is a dependency relationship between two groups of variables, ie, if the covariance between the two groups are zero. This test assumes normality multivariate data, which limits its application, in many studies of agronomic area, times when you need
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 29/02/2012
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5. Proposição de testes computacionalmente intensivos de normalidade multivariada / Proposition computationally intensive tests of multivariate normality
Os testes de normalidade multivariada influenciam diretamente na qualidade e confiabilidade das pesquisas científicas. Os objetivos desse trabalho foram: proposição de dois novos testes de normalidade multivariada ilimitados quanto ao tamanho da amostra denominados de teste Monte Carlo de normalidade multivariada baseado em distâncias e o teste de normal
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 21/12/2011
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6. Multiple comparison for binomial parameters using bootstrap / ComparaÃÃes mÃltiplas para parÃmetros binomiais utilizando bootstrap
The multiple comparisons methods and the analysis of variance are not reliable alternatives for comparing two or more binomial proportions, when the experiments have only Bernoulli trails. Although, this comparison can be made using the intensive computational techniques named infinite bootstrap. This work aimed to evaluate the performance of two binomial pr
Publicado em: 2006
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7. Soil carbon sequestration - Evaluation of its potential in pastures on sandy soils, Anhembi - Piracicaba/SP / Seqüestro de carbono nos solos - Avaliação das potencialidades dos solos arenosos sob pastagens, Anhembi - Piracicaba - SP"
The project studied the potential for soil carbon sequestration in pastures growing on sandy soils in the Cerrado region and for the application of remote sensing techniques for estimating carbon sequestration levels. The main focus was deducing how many tons per hectare could be sequestered if better pasture management techniques were adopted. Four pastures
Publicado em: 2003
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8. Um elemento finito hierarquico para analise dinamica P-adaptativa de placas espessas
The purpose of this research is to present an adaptive process of hierarchical refinement, based on the p-version parametric formulation from the Finite Element Method. The process is applied on the resolution of generalized dynamic eigenvalue problem of thick plates in the linear elasticity mode. The first leveI of approximation of the solution is obtained
Publicado em: 1993
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9. A Transmission/Disequilibrium Test That Allows for Genotyping Errors in the Analysis of Single-Nucleotide Polymorphism Data
The present study assesses the effects of genotyping errors on the type I error rate of a particular transmission/disequilibrium test (TDTstd), which assumes that data are errorless, and introduces a new transmission/disequilibrium test (TDTae) that allows for random genotyping errors. We evaluate the type I error rate and power of the TDTae under a variety
The American Society of Human Genetics.
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10. The influence of 3TC resistance mutation M184I on the fidelity and error specificity of human immunodeficiency virus type 1 reverse transcriptase.
A common target for therapies against human immuno-deficiency virus type 1 (HIV-1) is the viral reverse transcriptase (RT). Treatment with the widely used nucleoside analog (-)-2', 3'-deoxy-3'-thiacytidine (3TC) leads to the development of resistance-conferring mutations at residue M184 within the YMDD motif of RT. First, variants of HIV with the M184I subst
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11. Fidelity of DNA polymerases in DNA amplification.
Denaturing gradient gel electrophoresis (DGGE) was used to separate and isolate the products of DNA amplification by polymerase chain reaction (PCR). The strategy permitted direct enumeration and identification of point mutations created by T4, modified T7, Klenow fragment of polymerase I, and Thermus aquaticus (Taq) DNA polymerases. Incorrectly synthesized
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12. Evaluation of Candidate Genes in Case-Control Studies: A Statistical Method to Account for Related Subjects
Traditional case-control studies provide a powerful and efficient method for evaluation of association between candidate genes and disease. The sampling of cases from multiplex pedigrees, rather than from a catchment area, can increase the likelihood that genetic cases are selected. However, use of all the related cases without accounting for their biologica
The American Society of Human Genetics.