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20240329122006.0 |
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|a EBLCP
|b eng
|e pn
|c EBLCP
|d OCLCQ
|d MERUC
|d YDX
|d OCLCQ
|d LOA
|d OCLCO
|d OCLCF
|d OCLCO
|d K6U
|d OCLCQ
|d OCLCO
|d UUM
|d OCLCQ
|d OCLCL
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|a 1011519878
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|a 9780124072459
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|a 0124072453
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|a (OCoLC)1012345211
|z (OCoLC)1011519878
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4 |
|a QH352
|b .O238 2018
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| 082 |
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4 |
|a 591.788015118
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| 049 |
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|a UAMI
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| 100 |
1 |
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|a MacKenzie, Darryl I.
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| 245 |
1 |
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|a Occupancy Estimation and Modeling :
|b Inferring Patterns and Dynamics of Species Occurrence.
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| 250 |
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|a 2nd ed.
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| 260 |
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|a San Diego :
|b Elsevier Science,
|c 2005.
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| 300 |
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|a 1 online resource (668 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 588 |
0 |
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|a Print version record.
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0 |
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|a Front Cover -- Occupancy Estimation and Modeling -- Copyright -- Contents -- Preface -- Acknowledgments -- Part I Background and Concepts -- 1 Introduction -- 1.1 Operational De nitions -- 1.2 Sampling Animal Populations and Communities: General Principles -- 1.2.1 Why? -- 1.2.2 What? -- 1.2.3 How? -- 1.3 Inference About Dynamics and Causation -- 1.3.1 Generation of System Dynamics -- 1.3.2 Statics and Process vs. Pattern -- 1.4 Discussion -- 2 Occupancy Applications -- 2.1 Geographic Range -- 2.2 Habitat Relationships and Resource Selection
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| 505 |
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|a 2.3 Metapopulation Dynamics2.3.1 Inference Based on Single-Season Data -- 2.3.2 Inference Based on Multiple-Season Data -- 2.4 Large-Scale Monitoring -- 2.5 Multi-Species Occupancy Data -- 2.5.1 Inference Based on Static Occupancy Patterns -- 2.5.2 Inference Based on Occupancy Dynamics -- 2.6 Paleobiology -- 2.7 Disease Dynamics -- 2.8 Non-Ecological Applications -- 2.9 Discussion -- 3 Fundamental Principals of Statistical Inference -- 3.1 De nitions and Key Concepts -- 3.1.1 Random Variables, Probability Distributions, and the Likelihood Function
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| 505 |
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|a 3.1.2 Expected Values and Variance3.1.3 Introduction to Methods of Estimation -- 3.1.4 Properties of Point Estimators -- Bias -- Precision (Variance and Standard Error) -- Accuracy (Mean Squared Error) -- 3.1.5 Computer Intensive Methods -- 3.2 Maximum Likelihood Estimation Methods -- 3.2.1 Maximum Likelihood Estimators -- 3.2.2 Properties of Maximum Likelihood Estimators -- 3.2.3 Variance, Covariance (and Standard Error) Estimation -- 3.2.4 Con dence Interval Estimators -- 3.2.5 Multiple Maxima -- 3.2.6 Observed and Complete Data Likelihood
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|a 3.3 Bayesian Estimation3.3.1 Theory -- 3.3.2 Computing Methods -- 3.4 Modeling Predictor Variables -- 3.4.1 The Logit Link Function -- 3.4.2 Interpretation -- 3.4.3 Estimation -- 3.5 Hypothesis Testing -- 3.5.1 Background and De nitions -- 3.5.2 Likelihood Ratio Tests -- 3.5.3 Goodness of Fit Tests -- 3.6 Model Selection -- 3.6.1 Akaike's Information Criterion (AIC) -- 3.6.2 Goodness of Fit and Overdispersion -- 3.6.3 Quasi-AIC -- 3.6.4 Model Averaging and Model Selection Uncertainty -- 3.6.5 Bayesian Assessment of Model Fit
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|a 3.6.6 Bayesian Model Selection3.7 Discussion -- Part II Single-Species, Single-Season Occupancy Models -- 4 Basic Presence/Absence Situation -- 4.1 The Sampling Situation -- 4.2 Estimation of Occupancy if Probability of Detection Is 1 or Known Without Error -- 4.3 Two-Step Ad Hoc Approaches -- 4.3.1 Geissler-Fuller Method -- 4.3.2 Azuma-Baldwin-Noon Method -- 4.3.3 Nichols-Karanth Method -- 4.4 Model-Based Approach -- 4.4.1 Building a Model -- Observed Data Likelihood -- Complete Data Likelihood -- 4.4.2 Estimation
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| 500 |
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|a ""4.4.3 Constant Detection Probability Model""
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 650 |
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0 |
|a Animal populations
|x Estimates.
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| 650 |
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0 |
|a Animal populations
|x Mathematical models.
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| 650 |
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6 |
|a Animaux
|x Populations
|x Estimation.
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| 650 |
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6 |
|a Animaux
|x Populations
|x Modèles mathématiques.
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| 650 |
|
7 |
|a Animal populations
|x Estimates
|2 fast
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| 650 |
|
7 |
|a Animal populations
|x Mathematical models
|2 fast
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| 655 |
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4 |
|a Electronic books.
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| 700 |
1 |
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|a Nichols, James D.
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| 700 |
1 |
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|a Royle, J. Andrew.
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| 700 |
1 |
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|a Pollock, Kenneth H.
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| 700 |
1 |
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|a Bailey, Larissa.
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| 700 |
1 |
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|a Hines, James E.
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| 758 |
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|i has work:
|a Occupancy estimation and modeling (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCG6QMgQRD8MKp7XFjhTDVP
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|a MacKenzie, Darryl I.
|t Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence.
|d San Diego : Elsevier Science, ©2005
|z 9780124071971
|
| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5124550
|z Texto completo
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| 938 |
|
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|a EBL - Ebook Library
|b EBLB
|n EBL5124550
|
| 938 |
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|a YBP Library Services
|b YANK
|n 14976886
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| 994 |
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|a 92
|b IZTAP
|
