نتایج جستجو برای: parametric model
تعداد نتایج: 2144912 فیلتر نتایج به سال:
The Emergency Department of a hospital is devoted to provide first aid to outpatients. A correct organization and resource dimensioning is very important both in the planning and in the management phase and may be usefully supported by a simulation model to be applied by administrators and operators. As an emergency department is a very complex framework, a model which simulates it requires a l...
We derive an estimator of the asymptotic variance of both single and multiple imputation estimators. We assume a parametric imputation model but allow for non-and semipara-metric analysis models. Our variance estimator, in contrast to the estimator proposed by Rubin (1987), is consistent even when the imputation and analysis models are misspecified and incompatible with one another.
Computergestützte Methoden zur akustischen Raumsimulation finden Anwendung bei der Planung und Simulation von Konferenzräumen, Konzertoder Plenarsälen, also bei Architektur, bei der die Akustik eine wichtige Funktion erfüllt. Dabei wird unter Verwendung von physikalischen Modellen die Schallausbreitung in dem betrachteten Raum simuliert und der Höreindruck an bestimmten Positionen innerhalb des...
data envelopment analysis (dea) is a technique used to compare efficiency in various sectors such as hospitals, chain stores, and dealerships. it represents a set of linear programming techniques and uses deter-ministic data (inputs and outputs), in stable conditions. the dea technique cannot be used when there is data with indeterministic nature, or when there is an environment with dynamic co...
In this paper, a comprehensive approach for performance assessment and ranking of the electricity distribution companies is presented. In this approach, in order to obtain exact ranks of the electricity distribution companies, Data Envelopment Analysis (DEA) as a non-parametric model and Corrected Ordinary Least Squares (COLS) as a parametric model are combined by Principal Component Analysis ...
Background & Objective: Using parametric models is common approach in survival analysis. In the recent years, artificial neural network (ANN) models have increasingly used in survival prediction. The aim of this study was to predict of survival rate of patients with gastric cancer by using a parametric regression and ANN models and compare these methods. Methods: We used the data of 436 gast...
Since the seminal work of Gilboa and Schmeidler [28, p. 142] a relation between decision making under ambiguity and robust Bayesian statistics has been hinted at, and indeed immediate similarities are quite evident. At the same time, a formal treatment of this topic and a complete characterization of the relation between the two approaches is still missing. The object of this paper is to ll th...
Seven di erent Japanese Yen interest rates recorded on a daily basis for the period from 1986 to 1992 are simultaneously analyzed. By introducing a new concept of \short term trend", we decompose each interest rate series into three components, \long term trend", \short term trend" and \irregular" by a two step lowess smoothing procedure. Furthermore, a multivariate autoregressive model (MAR) i...
‎In this article‎, ‎we develop two nonparametric smoothing estimators for parameter of a time-variant parametric model‎. ‎This parameter can be from any parametric family or from any parametric or semi-parametric regression model‎. ‎Estimation is based on a two-step procedure‎, ‎in which we first get the raw estimate of the parameter at a set of disjoint time...
Some quality characteristics are well defined when treated as response variables and are related to some independent variables. This relationship is called a profile. Parametric models, such as linear models, may be used to model profiles. However, in practical applications due to the complexity of many processes it is not usually possible to model a process using parametric models.In these cas...
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