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20171111234740.0 |
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061213s2006 ne ab ob 000 0 eng d |
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|a 0080455042
|q (electronic bk.)
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|a 9780080455044
|q (electronic bk.)
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|a 1280628499
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|a 9781280628498
|q (Cloth)
|z 0120887665
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|a N$T
|b eng
|e pn
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4 |
|a QL752
|b .O23 2006eb
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| 245 |
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|a Occupancy estimation and modeling :
|b inferring patterns and dynamics of species occurrence /
|c Darryl I. MacKenzie [and others].
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| 260 |
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|a Amsterdam ;
|b Elsevier/Academic Press,
|c ©2006.
|a Boston :
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| 300 |
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|a 1 online resource (xviii, 324 pages) :
|b illustrations, maps
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| 504 |
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|a Includes bibliographical references (pages 293-312).
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|a Cover -- Table of Contents -- Preface -- Acknowledgments -- CHAPTER 1: Introduction -- 1.1. OPERATIONAL DEFINITIONS -- 1.2. SAMPLING ANIMAL POPULATIONS AND COMMUNITIES: GENERAL PRINCIPLES -- WHY? -- WHAT? -- HOW? -- 1.3. INFERENCE ABOUT DYNAMICS AND CAUSATION -- GENERATION OF SYSTEM DYNAMICS -- STATICS AND PROCESS VS. PATTERN -- 1.4. DISCUSSION -- CHAPTER 2: Occupancy in Ecological Investigations -- 2.1. GEOGRAPHIC RANGE -- 2.2. HABITAT RELATIONSHIPS AND RESOURCE SELECTION -- 2.3. METAPOPULATION DYNAMICS -- INFERENCE BASED ON SINGLE-SEASON DATA -- INFERENCE BASED ON MULTIPLE-SEASON DATA -- 2.4. LARGE-SCALE MONITORING -- 2.5. MULTISPECIES OCCUPANCY DATA -- INFERENCE BASED ON STATIC OCCUPANCY PATTERNS -- INFERENCE BASED ON OCCUPANCY DYNAMICS -- 2.6. DISCUSSION -- CHAPTER 3: Fundamental Principles of Statistical Inference -- 3.1. DEFINITIONS AND KEY CONCEPTS -- RANDOM VARIABLES, PROBABILITY DISTRIBUTIONS, AND THE LIKELIHOOD FUNCTION -- EXPECTED VALUES -- INTRODUCTION TO METHODS OF ESTIMATION -- PROPERTIES OF POINT ESTIMATORS -- COMPUTER-INTENSIVE METHODS -- 3.2. MAXIMUM LIKELIHOOD ESTIMATION METHODS -- MAXIMUM LIKELIHOOD ESTIMATORS -- PROPERTIES OF MAXIMUM LIKELIHOOD ESTIMATORS -- VARIANCES, COVARIANCE (AND STANDARD ERROR) ESTIMATION -- CONFIDENCE INTERVAL ESTIMATORS -- 3.3. BAYESIAN METHODS OF ESTIMATION -- THEORY -- COMPUTING METHODS -- 3.4. MODELING AUXILIARY VARIABLES -- THE LOGIT LINK FUNCTION -- ESTIMATION -- 3.5. HYPOTHESIS TESTING -- BACKGROUND AND DEFINITIONS -- LIKELIHOOD RATIO TESTS -- GOODNESS OF FIT TESTS -- 3.6. MODEL SELECTION -- THE AKAIKE INFORMATION CRITERION (AIC) -- GOODNESS OF FIT AND OVERDISPERSION -- QUASI-AIC -- MODEL AVERAGING AND MODEL SELECTION UNCERTAINTY -- 3.7. DISCUSSION -- CHAPTER 4: Single-species, Single-season Occupancy Models -- 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 -- GEISSLER-FULLER METHOD -- AZUMA-BALDWIN-NOON METHOD -- NICHOLS-KARANTH METHOD -- 4.4. MODEL-BASED APPROACH -- BUILDING A MODEL -- ESTIMATION -- EXAMPLE: BLUE-RIDGE TWO-LINED SALAMANDERS -- MISSING OBSERVATIONS -- COVARIATE MODELING -- VIOLATIONS OF MODEL ASSUMPTIONS -- ASSESSING MODEL FIT -- EXAMPLES -- 4.5. ESTIMATING OCCUPANCY FOR A FINITE POPULATION OR SMALL AREA -- PREDICTION OF UNOBSERVED OCCUPANCY STATE -- A BAYESIAN FORMULATION OF THE MODEL -- BLUE-RIDGE TWO-LINED SALAMANDERS REVISITED -- 4.6. DISCUSSION -- CHAPTER 5: Single-species, Single-season Models with Heterogeneous Detection Probabilities -- 5.1. SITE OCCUPANCY MODELS WITH HETEROGENEOUS DETECTION -- GENERAL FORMULATION -- FINITE MIXTURES -- CONTINUOUS MIXTURES -- ABUNDANCE MODELS -- MODEL FIT -- 5.2. EXAMPLE: BRE.
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| 650 |
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|a Animal populations
|x Estimates.
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| 650 |
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|a Animal populations
|x Mathematical models.
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| 650 |
1 |
2 |
|a Animals.
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| 650 |
1 |
2 |
|a Population Dynamics.
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| 650 |
2 |
2 |
|a Models, Statistical.
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| 650 |
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7 |
|a SCIENCE
|x Life Sciences
|x Zoology
|x General.
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| 650 |
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7 |
|a Animal populations
|x Estimates.
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| 650 |
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7 |
|a Animal populations
|x Mathematical models.
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| 700 |
1 |
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|a MacKenzie, Darryl I.
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| 856 |
4 |
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|u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=166224
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| 952 |
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|a CY-NiOUC
|b 5a04667b6c5ad14ac1eeef41
|c 998a
|d 945l
|e -
|t 1
|x m
|z Books
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