نتایج جستجو برای: covariance matrix the results show that although cccmodel estimates variance matrix better
تعداد نتایج: 16292761 فیلتر نتایج به سال:
This contribution presents a simple, attractive, and exible formulation for the weighted total least squares (WTLS) problem. It is simple because it is based on the well-known standard least squares theory; it is attractive because it allows one to directly use the existing body of knowledge of the least squares theory; and it is exible because it can be used to a broad eld of applications in t...
چکیده : هدف پژوهش حاضر، تعیین نقش واسطهای اعتماد سازمانی در رابطه ی بین عدالت سازمانی و یادگیری سازمانی به روش تحلیل مسیر میباشد. برای این منظور با استفاده از روش نمونه گیری تصادفی ساده 1?0 نفر از کارکنان اداره ورزش و جوانان استان فارس انتخاب و به پرسشنامه های متشکل از ابعاد یادگیری سازمانی، عدالت سازمانی و اعتماد سازمانی پاسخ دادند. نتایج پژوهش به طور کلی نشان داد که رابطه ی عدالت سازمان...
The paper deals with the estimation problem for the generalized Pareto distribution based on progressive type-II censoring with random removals. The number of components removed at each failure time is assumed to follow a binomial distribution. Maximum likelihood estimators and the asymptotic variance-covariance matrix of the estimates are obtained. Finally, a numerical example is given to illu...
the main objective in sampling is to select a sample from a population in order to estimate some unknown population parameter, usually a total or a mean of some interesting variable. a simple way to take a sample of size n is to let all the possible samples have the same probability of being selected. this is called simple random sampling and then all units have the same probability of being ch...
target tracking is the tracking of an object in an image sequence. target tracking in image sequence consists of two different parts: 1- moving target detection 2- tracking of moving target. in some of the tracking algorithms these two parts are combined as a single algorithm. the main goal in this thesis is to provide a new framework for effective tracking of different kinds of moving target...
Forecasting High-Dimensional Covariance Matrices Using High-Dimensional Principal Component Analysis
We modify the recently proposed forecasting model of high-dimensional covariance matrices (HDCM) asset returns using principal component analysis (PCA). It is well-known that when sample size smaller than dimension, eigenvalues estimated by classical PCA have a bias. In particular, very small number are extremely large and they called spiked eigenvalues. High-dimensional gives which correct bia...
This paper presents an efficient computation for least squares conditioning or estimates of it. We propose performance results using new routines on top of the multicore-GPU library MAGMA. This set of routines is based on an efficient computation of the variance-covariance matrix for which, to our knowledge, there is no implementation in current public domain libraries LAPACK and ScaLAPACK.
even though, to date, a lot of studies have been conducted on the subject of politeness theory, there are very few studies regarding the applicability of this theory to translation between english and persian which shows the reason behind conducting the present study. this study was carried out with the aim of highlighting whether there is any difference between english and persian methods of u...
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