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  1. Scan Statistics for Detecting a Local Change in Model Parameters for Normal Data

    In this chapter, we review the testing procedures that have been investigated in the scientific literature for detecting a local change in the...
    Jie Chen, Joseph Glaz in Handbook of Scan Statistics
    Living reference work entry 2024
  2. Designing Distributed Sensor Detection Systems Using the Scan Statistic

    The scan statistic has been successfully used to detect anomalies in georeferenced data, making it a suitable candidate for fusing measurements in...
    Benedito J. B. Fonseca in Handbook of Scan Statistics
    Reference work entry 2024
  3. Demimartingale Approaches for ScanStatistics

    Scan statistics are defined as random variables enumerating the moving windows in a sequence of binary outcome trials which contain a prescribed...
    Markos V. Koutras, Demetrios P. Lyberopoulos in Handbook of Scan Statistics
    Reference work entry 2024
  4. Generating Function Methods for Run and Scan Statistics

    Runs and pattern statistics have found successful applications in various fields. Many classical results of distributions of runs were obtained by...
    Reference work entry 2024
  5. Martingale Methods

    We survey the ways that martingales and the method of gambling teams can be used to obtain otherwise hard-to-get information for the moments and...
    Vladimir Pozdnyakov, J. Michael Steele in Handbook of Scan Statistics
    Reference work entry 2024
  6. Adjusted Inference for the Spatial Scan Statistic

    A modification is proposed to the usual inference test of the Kulldorff’s spatial scan statistic, incorporating additional information about the size...
    Alexandre C.  L. Almeida, Anderson R. Duarte, ... Ivair R. Silva in Handbook of Scan Statistics
    Reference work entry 2024
  7. Approximations for Discrete Scan Statistics on i.i.d and Markov-Dependent Bernoulli Trials

    In this short note, we examine some approximations for the distribution of the discrete scan statistic defined on i.i.d. and Markov-dependent...
    Brad C. Johnson in Handbook of Scan Statistics
    Reference work entry 2024
  8. On Scan Statistics Through the Finite Markov Chain Imbedding Approach

    This chapter provides a short review of the finite Markov chain imbedding approach for studying the distributions of discrete scan statistics,...
    W. Y. Wendy Lou, James C. Fu in Handbook of Scan Statistics
    Reference work entry 2024
  9. Scan Statistics Applications in Genomics

    The area of scan statistics encompasses a broad class of methods for detecting clusters of events. These methods have been applied to identify...
    Ming-Ying Leung in Handbook of Scan Statistics
    Reference work entry 2024
  10. Scan Statistics for Detecting a Local Change in Model Parameters for Normal Data

    In this chapter, we review the testing procedures that have been investigated in the scientific literature for detecting a local change in the...
    Jie Chen, Joseph Glaz in Handbook of Scan Statistics
    Reference work entry 2024
  11. Poisson Approximations for the Number of kl-Scans

    Consider a lecture class with a population of N students. Suppose we keep track of the order of students called upon to answer a question. Each...
    Anant Godbole, Katherine Grzesik, Heather Shappell in Handbook of Scan Statistics
    Reference work entry 2024
  12. The Role of Scan Statistics in High-Energy Astrophysics

    Astronomers often face with the problem of recognizing activity periods of celestial sources. Once an activity period is found during the operations...
    Luigi Pacciani in Handbook of Scan Statistics
    Reference work entry 2024
  13. Two-Dimensional Discrete Scan Statistics with Arbitrary Window Shape

    The definition of the two-dimensional discrete scan statistic with rectangular window shape is extended to a more general framework. In particular,...
    Alexandru Amărioarei, Michaël Génin, Cristian Preda in Handbook of Scan Statistics
    Reference work entry 2024
  14. Scan Statistics for Integer-Valued Random Variables: Conditional Case

    In this chapter, we review approximations and inequalities for the distribution of conditional scan statistics for a sequence of independent and...
    Jie Chen, Joseph Glaz in Handbook of Scan Statistics
    Reference work entry 2024
  15. Spatial Scan Statistics for Functional Data

    In this chapter, we propose a review of spatial scan statistics methods for functional data. These are defined by spatial locations within which...
    Mohamed-Salem Ahmed, Camille Frévent, Michaël Génin in Handbook of Scan Statistics
    Reference work entry 2024
  16. Quality (Q) Measures

    This chapter considers various “quality” measures of test outcome which can be derived from the 2 × 2 contingency tableContingency table, that is...
    A. J. Larner in The 2x2 Matrix
    Chapter 2024
  17. Number Needed (Reciprocal) Measures and Their Combinations as Likelihoods

    This chapter considers various “number needed” (reciprocal or multiplicative inverse) measures of test outcome which can be derived from the basic...
    A. J. Larner in The 2x2 Matrix
    Chapter 2024
  18. Introduction

    This chapter describes the basic fourfold, 2 × 2, contingency tableContingency table, cross-classifying actual and predicted classes, and introduces...
    A. J. Larner in The 2x2 Matrix
    Chapter 2024
  19. Wilcoxon Rank Sum Scan Statistics for Continuous Data with Outliers

    In this chapter, we investigate the performance of several Wilcoxon rank sum scan statistics in detecting a local change in population mean, in the...
    Qianzhu Wu, Joseph Glaz in Handbook of Scan Statistics
    Living reference work entry 2024
  20. Calibrating the Scan Statistic with Size-Dependent Critical Values

    It is known that the scan statistic with variable window size favors the detection of signals with small spatial extent and there is a corresponding...
    Guenther Walther in Handbook of Scan Statistics
    Reference work entry 2024
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