نتایج جستجو برای: s family distribution

تعداد نتایج: 1651055  

Journal: :iranian journal of animal biosystematics 0
seyfabadi m.m. zamani jamshidi a. mahvary-habibabadi

the hermit crab fauna of the larak island was investigated, which revealed seven species representing five genera and two families. the family diogenidae represents six species namely areopaguristes perspicax (nobili, 1906), clibanarius signatus heller, 1861, dardanus lagopodes (forskål, 1775), d. tinctor (forskål, 1775), d. avarus heller, 1865, d. tirmiziae siddiqui & mclaughlin, 2003, while t...

Journal: :The British journal of ophthalmology 1977
E Chimonidou G Palimeris J Koliopoulos P Velissaropoulos

From a study of a large number of brothers and sisters suffering from concomitant squint, the following data were obtained: (1) 42-9% of the patients showed congenital strabismus. (2) In 96-5% of the sibs strabismus was of the same type. (3) The presence of a significant refractive error occurred in 82-8% of the patients. (4) In all twins strabismus appeared at the same age in both twins, and t...

Journal: :journal of sciences islamic republic of iran 0

this paper is concerned with the problem of finding the minimax estimators of the scale parameter ? in a family of transformed chi-square distributions, under asymmetric squared log error (sle) and modified linear exponential (mlinex) loss functions, using the lehmann theorem [2]. also we show that the results of podder et al. [4] for pareto distribution are a special case of our results for th...

2007
Gertjan J. Burghouts Arnold W. M. Smeulders Jan-Mark Geusebroek

Assessing similarity between features is a key step in object recognition and scene categorization tasks. We argue that knowledge on the distribution of distances generated by similarity functions is crucial in deciding whether features are similar or not. Intuitively one would expect that similarities between features could arise from any distribution. In this paper, we will derive the contrar...

2002
William J. Reed Barry D. Hughes

We present a model for the distribution of family names that explains the power-law decay of the probability distribution for the number of people with a given family name. The model includes a description of the process of generation or importation of new names, and a description of the growth of the number of individuals with a name, and corresponds for a long-enduring culture to a Galton–Wat...

2017
Diana Mabel Kelmansky Lila Ricci

The traditional approach with microarray data has been to apply transformations that approximately normalize them, with the drawback of losing the original scale. The alternative stand point taken here is to search for models that fit the data, characterized by the presence of negative values, preserving their scale; one advantage of this strategy is that it facilitates a direct interpretation o...

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Predicting Adolescents’ Self-Differentiation and Attachment Styles Based on Family Flexibility, Parents’ Level of Self-Differentiation and Parental Attachment Styles F. Asl Dehghan, M.A. H. Rezaian, Ph.D. S. Hosseinian, Ph.D. The main purpose of the present study was to determine the role of family flexibility, parents’ level of self-differentiation, and pa...

Journal: :international journal of nonlinear analysis and applications 2015
zohreh karimi mohsen madadi mohsen rezapour

in this paper, we obtain  bayesian prediction intervals as well as bayes predictive estimatorsunder square error loss for generalized order statistics when the distribution of the underlying population belongs to a family which includes several important distributions.

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