Search Results - subject:"Intensity function"

Objective Bayesian reference analysis for the Poisson process model in presence of recurrent events data

Bernardo, José; Tomazella, Vera - In: TEST: An Official Journal of the Spanish Society of … 20 (2011) 1, pp. 204-221

Persistent link: https://www.econbiz.de/10009400182

Hybrid kernel estimates of space–time earthquake occurrence rates using the epidemic-type aftershock sequence model

Adelfio, Giada; Ogata, Yosihiko - In: Annals of the Institute of Statistical Mathematics 62 (2010) 1, pp. 127-143

Persistent link: https://www.econbiz.de/10008497336

On the linear degradation model with multiple failure modes

Haghighi, Firoozeh; Nikulin, Mikhail - In: Journal of Applied Statistics 37 (2010) 9, pp. 1499-1507

The purpose of this work is to develop statistical methods for using degradation measure to estimate a survival function for a linear degradation model. In this paper, we review existing methods and then describe a parametric approach. We focus on estimating the survival function. A simulation...

Persistent link: https://www.econbiz.de/10008674916

Estimating the intensity of a cyclic Poisson process in the presence of linear trend

Helmers, Roelof; Mangku, I. - In: Annals of the Institute of Statistical Mathematics 61 (2009) 3, pp. 599-628

Persistent link: https://www.econbiz.de/10005029248

Point process diagnostics based on weighted second-order statistics and their asymptotic properties

Adelfio, Giada; Schoenberg, Frederic - In: Annals of the Institute of Statistical Mathematics 61 (2009) 4, pp. 929-948

Persistent link: https://www.econbiz.de/10008467096

A software reliability growth model addressing learning

Ramasamy, Subburaj; Govindasamy, Gopal - In: Journal of Applied Statistics 35 (2008) 10, pp. 1151-1168

failure intensity function, i.e. the rate of occurrence of failures (ROCOF) that initially increases and then decreases (I …

Persistent link: https://www.econbiz.de/10005639764

Non-parametric Estimation for NHPP Software Reliability Models

Wang, Zhiguo; Wang, Jinde; Liang, Xue - In: Journal of Applied Statistics 34 (2007) 1, pp. 107-119

paper we construct some non-parametric methods to estimate the failure intensity function of the NHPP model, taking the …

Persistent link: https://www.econbiz.de/10005492173

Spatial Point Process Models of Defensive Strategies: Detecting Changes

Kornak, John; Irwin, Mark; Cressie, Noel - In: Statistical Inference for Stochastic Processes 9 (2006) 1, pp. 31-46

Persistent link: https://www.econbiz.de/10005184595

A Bayesian analysis for the seismic data on Taiwan

Fan, Tsai-Hung; Kuo, Eng-Nan - In: Annals of the Institute of Statistical Mathematics 56 (2004) 4, pp. 599-609

Persistent link: https://www.econbiz.de/10005169227

A unified treatment of single component replacement models

Frenk, Hans; Dekker, Rommert; Kleijn, Marcel - In: Computational Statistics 45 (1997) 3, pp. 437-454

In this paper we discuss a general framework for single component replacement models. This framework is based on the regenerative structure of these models and by using results from renewal theory a unified presentation of the discounted and average finite and infinite horizon cost models is...

Persistent link: https://www.econbiz.de/10010847638