نتایج جستجو برای: 2008 using a randomized complete block designs

تعداد نتایج: 14200487  

Journal: :علوم گیاهان زراعی ایران 0
مینا رستم زا دانشجوی سابق دکتری پردیس کشاورزی و منابع طبیعی دانشگاه تهران محمدرضا چائی چی دانشیار پردیس کشاورزی و منابع طبیعی دانشگاه تهران محمدرضا جهانسوز دانشیار پردیس کشاورزی و منابع طبیعی دانشگاه تهران

to evaluate the effects of drought stress and re-watering on nodal roots initiation and growth, two glasshouse experiments were conducted in commonwealth scientific and industrial research organization (csiro) in australia during 2008-2009. the experimental designs in both experiments were factorial in a randomized complete block design with two factors. first factor was drought stress and seco...

Journal: :Journal of Modern Applied Statistical Methods 2013

Journal: :پژوهش های حبوبات ایران 0
همایون کانونی محمد امتیاز

structure of alpha lattice designs makes removing the effects of incomplete blocks from residual effect of plots, and maximizes precision of comparison between genotypes at the same incomplete block. this investigation was conducted to study the international chickpea germplasm, for finding desirable lines regarding seed yield and other traits. two trials including cien-la-2010 and cien-s-2010 ...

The experiment was conducted using Randomized Complete Block Design with Row Column arrangement and three replications. Grain yield, phenological and other traits were recorded. The Residual Maximum Likelihood (REML) combined analysis of variance across locations showed very highly significant (P

The experiment was conducted using Randomized Complete Block Design with Row Column arrangement and three replications. Grain yield, phenological and other traits were recorded. The Residual Maximum Likelihood (REML) combined analysis of variance across locations showed very highly significant (P

2010
Danyang Bing Xiaomin He

This paper mainly illustrates how to use PROC MIXED to fit linear mixed models in clinical trials. We first introduce the statistical background of linear mixed models. We explore the situations under which the mixed effects are identified. A randomized complete block design is used to explain the difference between PROC GLM and PROC MIXED in dealing with the linear mixed models. Examples inclu...

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