نتایج جستجو برای: additive model

تعداد نتایج: 2156278  

Journal: :Computer methods and programs in biomedicine 2010
Mário de Castro Vicente G. Cancho Josemar Rodrigues

In many data sets from clinical studies there are patients insusceptible to the occurrence of the event of interest. Survival models which ignore this fact are generally inadequate. The main goal of this paper is to describe an application of the generalized additive models for location, scale, and shape (GAMLSS) framework to the fitting of long-term survival models. In this work the number of ...

F. Rezai Balf, , R. Shahverdi, ,

In data envelopment analysis, anyone can do classification decision units with efficiency scores. It will be interesting if a method for classification of DMUs without regarding to efficiency score is obtained. So in this paper, the classification of Decision Making Units (DMUs) is done according to the additive model without being solved for obtaining scores efficiency. This is because it ...

Journal: :علوم باغبانی ایران 0
سیداحسان فیضیان دانشجوی سابق دکتری دانشگاه تربیت مدرس حمید دهقانی دانشیار دانشگاه تربیت مدرس مختار جلالی جواران دانشیار دانشگاه تربیت مدرس عبدالمجید رضایی استاد دانشگاه صنعتی اصفهان

melon is an economically important crop and iran is considered as its diversity center. to investigate gene action, heritability and number of effective factors for yield and related traits, six generations, namely: p1, p2, f1, f2, bc1, and bc2 of two crosses of mirpanji × tashkandi and mirpanji × abasali were produced and evaluated in the spring of 2008, applyig a complete block design of thre...

In order to choose an efficient breeding procedure, it is necessary to have knowledge of the genetic system controlling agronomically important traits. Common bean is one of the major legumes containing large amount of proteins and other valuable nutrients. The aim of this study was to determine genetic parameters for yield and yield components, using six generations (P1, P2, F1, F2, BC1, and B...

2012
Guosheng Su Ole F. Christensen Tage Ostersen Mark Henryon Mogens S. Lund

Non-additive genetic variation is usually ignored when genome-wide markers are used to study the genetic architecture and genomic prediction of complex traits in human, wild life, model organisms or farm animals. However, non-additive genetic effects may have an important contribution to total genetic variation of complex traits. This study presented a genomic BLUP model including additive and ...

2002
Stefan Lang Marco Sunder

9 The recently developed computer program BayesX provides a Bayesian approach to the estima10 tion of non-parametric additive models. Such models can be useful in applications when the effect 11 of metrical covariates (such as time) are to be estimated while controlling for other factors. In an 12 application of this methodology, trends in the height of West Point cadets in the 19th century are...

2003
Susan L. Cutter Bryan J. Boruff

Objective. County-level socioeconomic and demographic data were used to construct an index of social vulnerability to environmental hazards, called the Social Vulnerability Index (SoVI) for the United States based on 1990 data. Methods. Using a factor analytic approach, 42 variables were reduced to 11 independent factors that accounted for about 76 percent of the variance. These factors were pl...

G. Tohidi P. Valizadeh

  For efficiency evaluation of some of the Decision Making Units that have uncertain information, Rough Data Envelopment Analysis technique is used, which is derived from rough set theorem and Data Envelopment Analysis (DEA). In some situations rough data alter nonradially. To this end, this paper proposes additive rough–DEA model and illustrates the proposed model by a numerical example.

2006
Marlene Müller

In many cases statisticians are not only required to provide optimal fits or classification results but also to interpret and visualize the fitted curves or discriminant rules. A main issue here is to explain in what way the explanatory variables impact the resulting fit. The R package KernGPLM (currently under development) implements semiparametric extensions to the generalized linear regressi...

2012
Yichao Wu Fang Yao

We introduce continuously additive models, which can be motivated as extensions of additive regression models with vector predictors to the case of infinite-dimensional predictors. This approach provides a class of flexible functional nonlinear regression models, where random predictor curves are coupled with scalar responses. In continuously additive modeling, integrals taken over a smooth sur...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید