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Stochastic Population Models: A Compartmental Perspective by James H. Matis (Eng

Description: Stochastic Population Models by James H. Matis, Thomas R. Kiffe Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This monograph focuses on the stochastic modeling of population processes. Publisher Description This monograph has been heavily influenced by two books. One is Ren­ shaws [82] work on modeling biological populations in space and time. It was published as we were busily engaged in modeling African bee dispersal, and provided strong affirmation for the stochastic basis for our ecological modeling efforts. The other is the third edition of Jacquez [28] classic book on compartmental analysis. He reviews stochastic compartmental analysis and utilizes generating functions in this edition to derive many useful re­ sults. We interpreted Jacquez use of generating functions as a message that the day had come for modeling practioners to consider using this powerful approach as a model-building tool. We were inspired by the idea of using generating functions and related methods for two purposes. The first is to integrate seamlessly our previous research centering in stochastic com­ partmental modeling with our more recent research focusing on stochastic population modeling. The second, related purpose is to present some key research results of practical application in a natural, user-friendly way to the large user communities of compartmental and biological population modelers. One general goal of this monograph is to make a case for the practical utility of the various stochastic population models. In accordance with this objective, we have chosen to illustrate the various stochastic models, using four primary applications described in Chapter 2. In so doing, this mono­ graph is based largely on our own published work. Details ISBN 038798657X ISBN-13 9780387986579 Title Stochastic Population Models Author James H. Matis, Thomas R. Kiffe Format Paperback Year 2000 Pages 202 Edition 1st Publisher Springer-Verlag New York Inc. GE_Item_ID:137767122; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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Stochastic Population Models: A Compartmental Perspective by James H. Matis (Eng

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

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ISBN-13: 9780387986579

Book Title: Stochastic Population Models

Number of Pages: X, 202 Pages

Publication Name: Stochastic Population Models : a Compartmental Perspective

Language: English

Publisher: Springer New York

Publication Year: 2000

Subject: Probability & Statistics / Stochastic Processes, Probability & Statistics / General

Item Weight: 24.3 Oz

Type: Textbook

Author: Thomas R. Kiffe, James H. Matis

Item Length: 9.3 in

Subject Area: Mathematics

Series: Lecture Notes in Statistics Ser.

Item Width: 6.1 in

Format: Trade Paperback

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