نتایج جستجو برای: dispersion estimator

تعداد نتایج: 91765  

2011
Keith A. Earle

A derivation of the Dirac equation in ‘3 + 1’ dimensions is presented based on a master equation approach originally developed for the ‘1+ 1’ problem by McKeon and Ord. The method of derivation presented here suggests a mechanism by which the work of Knuth and Bahrenyi on causal sets may be extended to a derivation of the Dirac equation in the context of an inference problem.

Journal: :Accident; analysis and prevention 2012
Dominique Lord Pei-Fen Kuo

The primary objective of this paper is to describe how site selection effects can influence the safety effectiveness of treatments. More specifically, the goal is to quantify the bias for the safety effectiveness of a treatment as a function of different entry criteria as well as other factors associated with crash data, and propose a new method to minimize this bias when a control group is not...

1997
David A. Randall

Measurements in atmospheric science sometimes determine universal functions, but more commonly data are collected in the form of case studies. Models are conceptual constructs that can be used to make predictions about the outcomes of measurements. Hypotheses can be expressed in terms of model results, and the best use of measurements is to falsify such hypotheses. Tuning of models should be av...

Journal: :bulletin of the iranian mathematical society 2011
m. towhidi j. behboodian

Journal: :The Annals of Statistics 2004

Journal: :Journal of Statistical Distributions and Applications 2017

Journal: :Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 2015

2015
E. Solazzo

The multimodel ensemble exercise performed within the HTAP project context (Fiore et al., 2009) is used here as an example of how a pre-inspection, diagnosis and selection of an ensemble, can produce more reliable results. The procedure is contrasted with the often-used practice of simply averaging model simulations, assuming different models produce independent results, and using the diversity...

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