Stephen ellner (53 résultats)

Pamphlet. Etat : Very Good. Vol 62, No 3, pp. 345-364, Illus, 4to, Extracted from orig vol, begins with title page, trimmed & stapled, thus is like a pamphlet else VG.

Pamphlet. Etat : Very Good. Vol 73, No 4, pp. 1227-1236, Illus, Extracted from orig vol, begins with title page, trimmed & stapled, thus is like a pamphlet, VG.

Pamphlet. Etat : Very Good. Vol 74, No 5, pp. 1337-1346, 4to, Extracted from orig vol, begins with title page, trimmed & stapled, thus is like a pamphlet else VG.

Etat : New.

paperback. Etat : As New. Paperback--no flaws.

Paperback. Etat : Good. From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians. Linked to a Web site with computer-lab materials and exercises, Dynamic Models in Biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering. …

paperback. Etat : Good.

Paperback. Etat : Good. From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians. Linked to a Web site with computer-lab materials and exercises, Dynamic Models in Biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering. …

paperback. Etat : Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Hardcover. Etat : Like New. First Edition. First Edition, First Printing. Published by Princeton University Press, 2006. Octavo. Hardcover. Book is like new. No dust jacket. Covers have shelf wear. Has sticker on back cover.

Etat : New.

Soft cover. Etat : Very Good. xxii 329 pages,indexed.The book has been covered in contact, else a clean, unmarked and solid copy. 'From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians." (Back cover) Overseas customers please note the book is heavy and will attract additional postage.…

Paperback. Etat : Near Fine. First Edition Thus; Second Printing. Near Fine in Wraps: shows mild shelving wear to the lower extremities and a hint of wear to the extremities overall; else flawless; the binding is square and secure; the text is clean. Free of creases to the panels. Free of creases to the backstrip. Free of any creased or dog-eared pages in the text. Free of any underlining, hi-lighting or marginalia or marks in the text. Free of any ownership names, dates, addresses, notations, inscriptions, stamps, plates, or labels. A handsome, nearly-new copy, structurally sound and tightly bound, showing very light wear. Bright and clean. Close to 'As New'. NOT a Remainder, Book-Club, or Ex-Library. Small 4to (10 x 7 x 0.75 inches) . Index. Liberally illustrated with duotone charts, maps, tables, drawings, photographs etc. Language: English. Weight: 25.7 ounces. First Edition Thus (2006) , Second Printing. Paperback. ; Small 4to 9" - 11" tall; xxii, 327 pages.…

Etat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

Etat : Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Etat : Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Etat : New.

Paperback. Etat : New. 1st ed. 2016. This book is a "How To" guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations. IPMs may seem hard as they involve integrals. The aim of this book is to demystify IPMs, so they become the model of choice for populations structured by size or other continuously varying traits. The book uses real examples of increasing complexity to show how the life-cycle of the study organism naturally leads to the appropriate statistical analysis, which leads directly to the IPM itself. A wide range of model types and analyses are presented, including model construction, computational methods, and the underlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculations within the text is available to readers on GitHub.Stephen P. Ellner is Horace White Professor of Ecology and Evolutionary Biology at Cornell University, USA; Dylan Z. Childs is Lecturer and NERC Postdoctoral Fellow in the Department of Animal and Plant Sciences at The University of Sheffield, UK; Mark Rees is Professor in the Department of Animal and Plant Sciences at The University of Sheffield, UK.…

Etat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. In English.

Etat : New. From controlling disease outbreaks to predicting heart attacks, dynamic models are crucial for understanding biological processes. This book teaches how to use dynamic models in biology. It is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. Num Pages: 352 pages, 10 halftones. 90 line illus. 15 tables. BIC Classification: PBWH; PS; UGK. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 253 x 177 x 19. Weight in Grams: 736. . 2006. 1st Edition. Paperback. . . . .…

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

Paperback. Etat : New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Etat : As New. Unread book in perfect condition.

Etat : New.

Paperback. Etat : New. From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians. Linked to a Web site with computer-lab materials and exercises, Dynamic Models in Biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering. …