Results 21 to 30 of about 6,852,071 (351)
Statistical analysis alternatives to validate hematic parameters in dairy under tropical conditions
Revista de Ciencias Agrícolas, 2022 The hematic parameters of cows selected for milk production in grazing under tropic conditions were analyzed based on six experimental studies. The major objective was to determine statistical analysis alternatives that could be used in the study of ...
Romulo Campos +4 more
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Active Learning with Statistical Models [PDF]
, 1995 For many types of machine learning algorithms, one can compute the statistically `optimal' way to select training data. In this paper, we review how optimal data selection techniques have been used with feedforward neural networks.
Cohn, D. A. +2 more
core +9 more sources
Fisher’s significance test: A gentle introduction
GMS Medizinische Informatik, Biometrie und Epidemiologie, 2020 The p-value is often misunderstood and, for example, misinterpreted as a probability for the correctness of the null hypothesis. The aim of this article is to first explain the definition of the p-value.
Stang, Andreas, Kowall, Bernd
doaj +1 more source
Determination of the Conditional-Constant Component of the Bank’s Current Liabilities [PDF]
Экономика региона, 2016 The article deals with the questions of the definition of the semi-constant component of current liabilities of a bank. The purpose of this article is to develop a scientific and methodological approach to determine the semi-constant component of the ...
Anatoly Pavlovich Vozhzhov +2 more
doaj +1 more source
Statistical Inference: The Big Picture [PDF]
Statistical Science 2011, Vol. 26, No. 1, 1-9, 2011 Statistics has moved beyond the frequentist-Bayesian controversies of the past. Where does this leave our ability to interpret results? I suggest that a philosophy compatible with statistical practice, labeled here statistical pragmatism, serves as a foundation for inference.
arxiv +1 more source
A survey of statistical network models [PDF]
, 2009 Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a ...
Alice X. Zheng +4 more
core +3 more sources
A global optimization method based on the reduced simplicial statistical model
Mathematical Modelling and Analysis, 2011 A simplicial statistical model of multimodal functions is used to construct a global optimization algorithm. The search for the global minimum in the multidimensional space is reduced to the search over the edges of simplices covering the feasible region
Antanas Žilinskas, Julius Žilinskas
doaj +1 more source
Quantitative indicators in function of companies creditworthiness assesment [PDF]
Ekonomski Pogledi, 2017 Companies business in todays modern market-economic conditions is extremely turbulent and requires constatn adaptation to these conditions. Constant techological and economic inovations, especialy in adequately cash flow management as well as acquiring ...
Ilić Miloš, Saković Dušan
doaj +1 more source
On some problems in the article "Efficient Likelihood Estimation in State Space Models" by Cheng-Der Fuh [PDF]
Annals of Statistics 2010, Vol. 38, No. 2, 1279-1281, 2010 On some problems in the article "Efficient Likelihood Estimation in State Space Models" by Cheng-Der Fuh [Ann. Statist. 34 (2006) 2026--2068] [arXiv:math/0611376]
arxiv +1 more source
Worm algorithms for classical statistical models [PDF]
, 2001 We show that high-temperature expansions may serve as a basis for the novel approach to efficient Monte Carlo simulations. "Worm" algorithms utilize the idea of updating closed path configurations (produced by high-temperature expansions) through the ...
Boris Svistunov +18 more
core +3 more sources