نتایج جستجو برای: statistical models strength

تعداد نتایج: 1402247  

Journal: :The Journal of Investment Strategies 2017

M. Naderi Dehkordi, M. Torkan ,

Concrete is the second most consumed material after water and the most widely used construction material in the world. The compressive strength of concrete is one of its most important mechanical properties, which highly depends on its mix design. The present study uses the intelligent methods with instance-based learning ability to predict the compressive strength of concrete. To achieve this ...

Journal: :Population (French Edition) 1997

2016
Masasi Hattori

The data presented in this article are related to the research article entitled "Probabilistic representation in syllogistic reasoning: A theory to integrate mental models and heuristics" (M. Hattori, 2016) [1]. This article presents predicted data by three signature probabilistic models of syllogistic reasoning and model fitting results for each of a total of 12 experiments (N=404) in the lite...

2001
Viktor Witkovský Gejza Wimmer V. Witkovský G. Wimmer

We consider the problem of measurements made by several laboratories (or methods) on virtually the same object of interest. In general, the number of measurements made at each laboratory may differ. Moreover, the laboratories may exhibit the between-laboratory variability caused by the systematic error due to each laboratory, as well as different within-laboratory variances caused by different ...

Journal: :journal of arthropod-borne diseases 0
afshin ostovar epidemiology and biostatistics department, school of public health, tehran university of medical sciences, tehran, iran ali akbar haghdoost research center for modeling in health, institute for future studies in health, kerman university of medical sciences, kerman, iran abbas rahimiforoushani epidemiology and biostatistics department, school of public health, tehran university of medical sciences, tehran, iran ahmad raeisi malaria control office of moh and me, tehran university of medical sciences, tehran, iran reza majdzadeh knowledge utilization research center, tehran university of medical sciences, tehran, iran

background: the malaria early warning system is defined as the use of prognostic variables for predicting the occurrence of malaria epidemics several months in advance. the principal objective of this study was to provide a malaria prediction model by using meteorological variables and historical malaria morbidity data for malaria-en­demic areas in south eastern iran. methods: a total of 2002 l...

Journal: :desert 2008
s. bazgeer gh. kamali a. mortazavi

yield prediction before harvesting is one of the tools in order to planning food production supply in future.yield prediction was carried out for wheat(triticum aestivum) using different meteorological variables with agrometeorological indices in hamedan district during 2003-04 and 2004-05. according to correlation coefficients, standard error of estimate as well as relative deviation of predic...

Journal: :مدیریت اطلاعات سلامت 0
محمد رضا علیرضایی استادیار، ریاضی کاربردی (تحقیق در عملیات)، دانشگاه علم و صنعت ایران، تهران رضوان ستاری کارشناسی ارشد، ریاضی کاربردی (تحقیق در عملیات)، دانشگاه آزاد اسلامی واحد خوراسگان، اصفهان

normal 0 false false false en-us x-none ar-sa introduction: the performance evaluation of healthcare system in macro-level is important. this paper evaluates performance of health service of asian countries in 2006. methods: in the first step, the initial data for performance evaluation has been collected from the site world health organization (who) and are weighted by analytical hierarchy pro...

2001
C. P. Michaelides Andrew R. Nix

To effectively dimension and rollout a cellular network, accurate sitespecific field strength predictions are required. Traditionally, operators make use of high-speed statistical propagation models for each proposed base site. Today’s advanced cellular networks place a greater emphasis on urban microcellular deployment. It is well known that statistical models perform poorly in such environmen...

Journal: :Personality & social psychology bulletin 2016
Hugo Toscano Thomas W Schubert Ron Dotsch Virginia Falvello Alexander Todorov

We investigate both similarities and differences between dominance and strength judgments using a data-driven approach. First, we created statistical face shape models of judgments of both dominance and physical strength. The resulting faces representing dominance and strength were highly similar, and participants were at chance in discriminating faces generated by the two models. Second, altho...

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