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Showing 1-20 of 1,811 results
  1. Waiting for Scans Containing Two Successes

    In the present chapter, we present a review of results pertaining to the distribution of waiting times for the occurrence(s) of scans of type 2∕r in...
    Markos V. Koutras, Spiros D. Dafnis in Handbook of Scan Statistics
    Reference work entry 2024
  2. Equilibrium Queueing Strategies in M/G/1 Queues with the Reference Time Effect

    Waiting is a major factor influencing the perception of delay-sensitive customers in the service industry. In the process of queueing, some customers...

    Tao Jiang, Li Gao, Xudong Chai in Methodology and Computing in Applied Probability
    Article 20 November 2023
  3. Waiting for Scans Containing Two Successes

    In the present chapter, we present a review of results pertaining to the distribution of waiting times for the occurrence(s) of scans of type 2∕r in...
    Markos V. Koutras, Spiros D. Dafnis in Handbook of Scan Statistics
    Living reference work entry 2021
  4. Computing waiting time probabilities related to \( (k_{1},k_{2},\ldots ,k_{l})\) pattern

    Stathis Chadjiconstantinidis, Serkan Eryilmaz in Statistical Papers
    Article 13 August 2022
  5. Queue-Length, Waiting-Time and Service Batch Size Analysis for the Discrete-Time GI/D-MSP\(^{\text {(a,b)}}/1/\infty \) Queueing System

    This paper analyzes an infinite-buffer single-server bulk-service queueing system in which customers arrive according to a discrete-time renewal...

    Article 29 September 2020
  6. An Inhomogeneous Weibull–Hawkes Process to Model Underdispersed Acoustic Cues

    A Hawkes point process describes self-exciting behaviour where event arrivals are triggered by historic events. These models are increasingly...

    Alec B. M. Van Helsdingen, Tiago A. Marques, Charlotte M. Jones-Todd in Journal of Agricultural, Biological and Environmental Statistics
    Article Open access 11 May 2024
  7. Replacement model with random replacement time

    In this paper, we study a replacement model under which replacements take place not at fixed time but at random time T or upon failure. We study the...

    Kanchan Jain, Sudheesh K. Kattumannil, Anjana Rajagopal in Statistical Papers
    Article 24 March 2022
  8. Analysis of a Discrete-time Queue with Modified Batch Service Policy and Batch-size-dependent Service

    We consider a discrete-time single server batch service queue, with a modified bulk service rule, where jobs will process in batches with a minimum...

    Gopinath Panda, Veena Goswami in Methodology and Computing in Applied Probability
    Article 31 January 2023
  9. Analysis of the Mt/M/1 Queueing System with Impatient Customers and Single Vacation

    We consider an M t /M/1 queueing system with impatient customers and a single vacation, assuming the customers’ impatience is due to the server’s...

    Ali Yousefi, Reza Pourtaheri, Mohammad Reza Salehi Rad in Sankhya B
    Article 27 April 2024
  10. On Generating Families of Power Quantile Distributions for Modeling Waiting and Repair Times Data

    In this study, we introduce a new rich family of distributions defined by a simple power quantile function. We discuss some of its interesting...

    Vikas Kumar Sharma, Komal Shekhawat, Christophe Chesneau in Journal of the Indian Society for Probability and Statistics
    Article 02 March 2021
  11. Statistical and probabilistic analysis of interarrival and waiting times of Internet2 anomalies

    Motivated by the need to introduce design improvements to the Internet network to make it robust to high traffic volume anomalies, we analyze...

    Piotr Kokoszka, Hieu Nguyen, ... Liuqing Yang in Statistical Methods & Applications
    Article 21 November 2019
  12. Remaining Loads in a PH/M/c Queue with Impatient Customers

    There are three contributions to the literature in this note. Firstly, we point out that under some weak conditions the result in Swensen ( 1986 ) on...

    Article Open access 13 February 2023
  13. Statistical Challenges for Causal Inference Using Time-to-Event Real-World Data

    Real-world data (RWD) have been increasingly used in drug development, e.g., for indirect comparisons of treatments in real-world settings and...
    Jixian Wang, Hongtao Zhang, Ram Tiwari in Real-World Evidence in Medical Product Development
    Chapter 2023
  14. Complex-Valued Time Series Models and Their Relations to Directional Statistics

    The fluctuation of stationary time series often shows a certain periodic behavior and this pattern is usually summarized via a spectral density....
    Chapter 2023
  15. Performance and Optimization Analysis of a Queue with Delayed Uninterrupted Multiple Vacation and N-Policy

    This paper considers an M / G /1 queue with delayed uninterrupted multiple vacation and N -policy, in which (i) the server remains dormant from vacation...

    Yaxing He, Yinghui Tang, ... Wenqing Wu in Methodology and Computing in Applied Probability
    Article 13 June 2024
  16. Shocks, Scans, and Reliability Systems

    This chapter summarizes the close connection between one of the widely studied shock models known as δ-shock model and runs/scans. Under discrete...
    Serkan Eryilmaz in Handbook of Scan Statistics
    Living reference work entry 2024
  17. Shocks, Scans, and Reliability Systems

    This chapter summarizes the close connection between one of the widely studied shock models known as δ-shock model and runs/scans. Under discrete...
    Serkan Eryilmaz in Handbook of Scan Statistics
    Reference work entry 2024
  18. On the estimation of partially observed continuous-time Markov chains

    Motivated by the increasing use of discrete-state Markov processes across applied disciplines, a Metropolis–Hastings sampling algorithm is proposed...

    Alan Riva-Palacio, Ramsés H. Mena, Stephen G. Walker in Computational Statistics
    Article 18 August 2022
  19. Continuous-Time Markov Chain Modeling

    As we mentioned earlier, the Russian mathematician Andrei Andreyevich Markov (1856–1922) introduced sequences of values of a random variable in which...
    Liliana Blanco-Castañeda, Viswanathan Arunachalam in Applied Stochastic Modeling
    Chapter 2023
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