Last edited by Kakinos
Thursday, May 14, 2020 | History

1 edition of Modeling a random search found in the catalog.

Modeling a random search

Bruno O. Shubert

Modeling a random search

by Bruno O. Shubert

  • 241 Want to read
  • 36 Currently reading

Published by Naval Postgraduate School in Monterey, Calif .
Written in English

    Subjects:
  • Search theory,
  • Brownian motion processes,
  • Random walks (Mathematics)

  • About the Edition

    A model for random search is considered which differs from the classical random search by modeling the random paths of the searcher and/or target as those of a Wiener process. The quantity of interest is the distribution of detection time for a cookie cutter mode of detection. Only one-dimensional search is considered here. (Author)

    Edition Notes

    Statementby Bruno O. Shubert
    ContributionsNaval Postgraduate School (U.S.)
    The Physical Object
    Pagination22 p. ;
    Number of Pages22
    ID Numbers
    Open LibraryOL25472686M
    OCLC/WorldCa428099409

    Hierarchical Linear Modeling. Cite this entry as: () Random Effect Modeling. In: Michalos A.C. (eds) Encyclopedia of Quality of Life and Well-Being Research. Hey all, I’ll be at the mini Maker Faire at the Oak Park Mall Barnes and Noble on Nov. 5 promoting my 3D Printing with SketchUp book. Come by and see all the great products being demonstrated, and talk to Continue reading Maker Faire at Barnes and Noble →.

    ISBN: OCLC Number: Description: XIII, [1], s.: il. ; 26 cm. Contents: Preface ix1 Probability Review Interpreting and Using Probabilities Sample Spaces and Events Probability Random Variables Probability Distributions Joint, Marginal, and Conditional Distributions Expectation Variance and . Book Description. Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions.

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