نتایج جستجو برای: sample methods

تعداد نتایج: 2155213  

Journal: :Poultry science 2009
J Pan J G Fadel R Zhang H M El-Mashad Y Ying T Rumsey

When poultry manure is collected but cannot be analyzed immediately, a method for storing the manure is needed to ensure accurate subsequent analyses. This study has 3 objectives: (1) to investigate effects of 4 poultry manure sample preservation methods (refrigeration, freezing, acidification, and freeze-drying) on the compositional characteristics of poultry manure; (2) to determine compositi...

Journal: :The International journal of eating disorders 2004
Walter H Kaye Bernie Devlin Nicole Barbarich Cynthia M Bulik Laura Thornton Silviu-Alin Bacanu Manfred M Fichter Katherine A Halmi Allan S Kaplan Michael Strober D Blake Woodside Andrew W Bergen Scott Crow James Mitchell Alessandro Rotondo Mauro Mauri Giovanni Cassano Pamela Keel Katherine Plotnicov Christine Pollice Kelly L Klump Lisa R Lilenfeld J Kelly Ganjei Norbert Quadflieg Wade H Berrettini

OBJECTIVE Twin and family studies suggest that genetic variants contribute to the pathogenesis of bulimia nervosa (BN) and anorexia nervosa (AN). The Price Foundation has supported an international, multisite study of families with these disorders to identify these genetic variations. The current study presents the clinical characteristics of this sample as well as a description of the study me...

Journal: :J. Computational Applied Mathematics 2013
Natasa Krejic Natasa Krklec Jerinkic

Minimization of unconstrained objective function in the form of mathematical expectation is considered. Sample Average Approximation SAA method transforms the expectation objective function into a real-valued deterministic function using large sample and thus deals with deterministic function minimization. The main drawback of this approach is its cost. A large sample of the random variable tha...

2015
ARTHUR GUEZ Arthur Guez

A fundamental issue for control is acting in the face of uncertainty about the environment. Amongst other things, this induces a trade-off between exploration and exploitation. A model-based Bayesian agent optimizes its return by maintaining a posterior distribution over possible environments, and considering all possible future paths. This optimization is equivalent to solving a Markov Decisio...

2012
Tyler J. VanderWeele

Interactions measured on the additive scale are more relevant than multiplicative interaction for assessing public health importance and also more closely related to notions of mechanistic synergism. Most work on sample size and power calculations for interaction have focused on the multiplicative scale. Here we derive analytic expressions for sample size and power calculations for interactions...

2001
Michael D. Cannon

Tests for correlations between sample size and taxonomic relative abundance are commonly used in zooarchaeological analyses to determine whether observed trends in relative abundance might simply be the result of sampling error. Monte Carlo simulations designed to evaluate the utility of this method indicate that it is inadequate as a means of detecting errors resulting from the incorporation o...

2012
Sanna Holopainen Marjaana Nousiainen Osmo Anttalainen Mika E.T. Sillanpää

The requirement to monitor the chemical quality of water has become one of the major issues in environmental analytics. Ionmobility spectrometry (IMS), a fast, sensitive method traditionally used in security and military applications, is also suitable for environmental analysis and detection of organic pollutants from aqueous matrices, when combined with advantageous methods to isolate analytes...

Journal: :Queueing Syst. 1995
Zhen Liu Philippe Nain Donald F. Towsley

Sample path methods are now among the most used techniques in the control of queueing systems. However, due to the lack of mathematical formalism, they may appear to be non-rigorous and even sometimes mysterious. The goal of this paper is threefold: to provide a general mathematical setting, to survey the most popular sample path methods including forward induction, backward induction and inter...

Journal: :CoRR 2016
Yichen Chen Mengdi Wang

We study the online estimation of the optimal policy of a Markov decision process (MDP). We propose a class of Stochastic Primal-Dual (SPD) methods which exploit the inherent minimax duality of Bellman equations. The SPD methods update a few coordinates of the value and policy estimates as a new state transition is observed. These methods use small storage and has low computational complexity p...

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