Estimating Animal Abundance : Closed Populations (Statistics for Biology and Health) （2nd corr. pr. 2004. XIII, 314 p. w. 91 figs. 24 cm）

個数：

Estimating Animal Abundance : Closed Populations (Statistics for Biology and Health) （2nd corr. pr. 2004. XIII, 314 p. w. 91 figs. 24 cm）

  • 提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
    【重要ご説明事項】
    1. 納期遅延や、ご入手不能となる場合が若干ございます。
    2. 複数冊ご注文の場合、分割発送となる場合がございます。
    3. 美品のご指定は承りかねます。
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Hardcover:ハードカバー版／ページ数 314 p.
  • 商品コード 9781852335601

Full Description

We hope this book will make the bewildering variety of methods for estimat­ ing the abundance of animal populations more accessible to the uninitiated and more coherent to the cogniscenti. We have tried to emphasize the fun­ damental similarity of many methods and to draw out the common threads that underlie them. With the exception of Chapter 13, we restrict ourselves to closed populations (those that do not change in composition over the period(s) being considered). Open population methods are in many ways simply extensions of closed population methods, and we have tried to pro­ vide the reader with a foundation on which understanding of both closed and open population methods can develop. We would like to thank Miguel Bernal for providing the St Andrews example dataset used frequently in the book; Miguel Bernal and Jeff Laake for commenting on drafts of the book; Jeff Laake for providing Figure 10.1; NRC Research Press for allowing us to use Figures 10.2, 10.3, 10.4, 10.5, 10.6 and10.7; the International Whaling Commission for allowing us to use Figure 12.1; Sharon Hedley for providing Figures 12.1 and 12.2. D.L.B. is eternally indebted to Carol, Alice and Aidan for their support through writing the book, and for the many evenings and weekends that it has taken from them.

Contents

1 Introduction.- 2 Using likelihood for estimation.- 3 Building blocks.- 4 Plot sampling.- 5 Removal, catch-effort and change-in-ratio.- 6 Simple mark-recapture.- 7 Distance sampling.- 8 Nearest neighbour and point-to-nearest-object.- 9 Further building blocks.- 10 Spatial/temporal models with certain detection.- 11 Dealing with heterogeneity.- 12 Integrated models.- 13 Dynamic and open population models.- 14 Which method?.- A Notation and Glossary.- A.1 Notation.- A.2 Glossary.- B Statistical formulation for observation models.- B.1 Detection function.- B.2 Multiple surveys.- C The asymptotic variance of MLEs.- C.1 Estimating the variance of an MLE.- C.2 Estimating the variance of a function of an MLE.- C.3 A one-parameter example.- C.3.1 Fisher information version 1.- C.3.2 Fisher information version 2.- C.3.3 Observed information.- D State models for mark-recapture and removal methods.- D.1 Static population.- D.2 Independent dynamics.- D.3 Markov dynamics.- References.