Author: Kuang-Hua Daphne ChouPublisher:
ISBN:
Category : Point processes
Languages : en
Pages : 354
Book Description
Nonparametric Estimation of the Generating Function of the Intensity Function Process of a Doubly Stochastic Poisson Process
Author: Kuang-Hua Daphne ChouPublisher:
ISBN:
Category : Point processes
Languages : en
Pages : 354
Book Description
Doubly Stochastic Poisson Processes
Author: J. GrandellPublisher: Springer
ISBN: 3540382585
Category : Mathematics
Languages : en
Pages : 244
Book Description
Nonparametric Estimation of Intensity Functions
Author: Matt GregasEstimation in Poisson Processes
Author: Pratap Narain MisraPublisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 212
Book Description
Dissertation Abstracts International
Author: Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 734
Book Description
Nonparametric Studies of Doubly Stochastic Poisson Processes, Binomial Data, and High Dimension, Low Sample Size Data
Author: Tingting ZhangPublisher:
ISBN:
Category :
Languages : en
Pages : 234
Book Description
We illustrate through examples that those nonparametric Bayes estimates based on the Bernstein-Dirichlet process are more robust to sample variation and tend to have smaller estimation errors than those based on the Dirichlet process. In certain settings, the new estimators can even outperform Stein's estimator and Efron and Morris's limited translation estimator. Chapter 3 examines the asymptotic behavior of the correlation pursuit stepwise variable selection procedure that has been proposed recently by (Zhong et al ., 2008). More specifically, we analyze the asymptotic distribution of the test statistics under the null hypothesis of no effect for selected predictors and the power of the test under the alternative hypothesis. We also compare the new procedure with the classical linear regression algorithm for linear models, and discuss the possibility of generalizing the method to multiple index models.
Estimation of the Mean Value Function from a Sample of Nonhomogeneous Poisson Processes
Author: Carlos Ramon VallarinoPublisher:
ISBN:
Category :
Languages : en
Pages : 184
Book Description
American Doctoral Dissertations
Author: Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 776
Book Description
A Non-parametric Estimator for the Doubly-periodic Poisson Intensity Function
Author: Roelof HelmersStatistical and Probabilistic Models in Reliability
Author: Nikolaos LimniosPublisher: Springer Science & Business Media
ISBN: 1461217822
Category : Mathematics
Languages : en
Pages : 369
Book Description
This volume consists of twenty-four papers selected by the editors from the sixty-one papers presented at the 1st International Conference on Mathemati cal Methods in Reliability held at the Politehnica University of Bucharest from 16 to 19 September 1997. The papers have been divided into three sections: statistical methods, probabilistic methods, and special techniques and appli cations. Of course, as with any classification, some papers could be as well assigned to other sections. Problems in reliability are encountered in items in everyday usage. Relia bility is an important feature of household appliances, cars, telephones, power supplies, and so on, whether viewed from the vantage of the producer or the consumer. Important decisions are based on the reliability of the product. Obtaining systems that perform adequately for a specified period of time in a given environment is an important goal for both government and industry. Hence study and use of reliability theory, which can be applied in the research, development, and production phases of a system to enable the user to evaluate and improve performance, is a worthwhile venture. If reliability theory is to be useful, it must be quantitative in nature, because reliability must be demonstra ble. Subsequently probability and statistics, among others, play an important part in its development.