Point Processes Generalized Order by Debrabant Birgit (7 results)

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  • Language: English

    Published by Logos Verlag Berlin 2008

    3832519599 / 9783832519599

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    Seller: ISD LLC, Bristol, CT, U.S.A.ISD LLC

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    paperback. Condition: New.

  • Language: English

    Published by Logos Verlag Berlin 2008

    3832519599 / 9783832519599

    • Softcover

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  • Language: English

    Published by Logos Verlag Berlin GmbH, Berlin 2008

    3832519599 / 9783832519599

    • Softcover

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    Paperback. Condition: new. Paperback. Mixed Poisson processes are a well known class of point processes derived from(stationary) Poisson processes. In particular they cover cases where the intensityof a Poisson process is unknown but can be assumed to follow a known probabilitydistribution. This situation is common e. g. in insu

  • Language: English

    Published by Logos Verlag Berlin 2008

    3832519599 / 9783832519599

    • Softcover

    Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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    Condition: As New. Unread book in perfect condition.

  • Language: English

    Published by Logos Verlag Berlin 2008

    3832519599 / 9783832519599

    • Softcover

    Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.

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    Condition: New. 2008. Paperback. . . . . .

  • Language: English

    Published by Logos Verlag Berlin 2008

    3832519599 / 9783832519599

    • Softcover

    Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore

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    Condition: New. 2008. Paperback. . . . . . Books ship from the US and Ireland.

  • Language: English

    Published by Logos Verlag Berlin GmbH, Berlin 2008

    3832519599 / 9783832519599

    • Softcover

    Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    Paperback. Condition: new. Paperback. Mixed Poisson processes are a well known class of point processes derived from(stationary) Poisson processes. In particular they cover cases where the intensityof a Poisson process is unknown but can be assumed to follow a known probabilitydistribution. This situation is common e. g. in insu