نتایج جستجو برای: additive model

تعداد نتایج: 2156278  

Belum V. S. Reddy K. H. P. Reddy P. Sanjana Reddy P. Srinivasa Rao Sudhir Kumar

Generation mean analysis was carried out to estimate the nature andmagnitude of gene effects for sugar yield and its component traits in sweet sorghum[Sorghum bicolor (L.) Moench. Six basic generations, namely P1, P2, F1, F2,BC1P1, BC1P2 of four crosses involving seven diverse parents were evaluated inrainy 2009. The mean performance of the F1 in all the crosses indicated dominantgene effect fo...

2001
Jianqing Fan Li-Shan Huang

Several new tests are proposed for examining the adequacy of a family of parametric models against large nonparametric alternatives. These tests formally check if the bias vector of residuals from parametric Ž ts is negligible by using the adaptive Neyman test and other methods. The testing procedures formalize the traditional model diagnostic tools based on residual plots. We examine the rates...

2017
Luiz R. Nakamura Robert A. Rigby Dimitrios M. Stasinopoulos Roseli A. Leandro Cristian Villegas Rodrigo R. Pescim

The Birnbaum-Saunders generalized t (BSGT) distribution is a very flflexible family of distributions that admits different degrees of skewness and kurtosis and includes some important special or limiting cases available in the literature, such as the Birnbaum-Saunders and BirnbaumSaunders t distributions. In this paper we provide a regression type model to the BSGT distribution based on the gen...

2012
Hans-Georg Müller

We propose a comprehensive framework for flexible additive regression models for correlated functional responses, allowing for multiple partially nested or crossed functional random effects with spatial, temporal, or longitudinal correlation structures. Additionally, our framework includes linear effects of functional covariates and linear or smooth effects of scalar covariates that can vary sm...

1999
Tony A. Plate

One of the widely acknowledged drawbacks of exible statistical models is that the tted models are often extremely diicult to interpret. However, if exible models are constrained to be additive the tted models are much easier to interpret, as each input can be considered independently. The problem with additive models is that they cannot provide an accurate model if the phenomenon being modeled ...

Journal: :Applied Psychological Measurement 1979

Journal: :Genetics Selection Evolution 1999

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