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1. |
Record Nr. |
UNISA996390680403316 |
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Autore |
Digges Leonard <d. 1571?> |
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Titolo |
A prognostication euerlastinge of righ[t] good effecte [[electronic resource] ] : fruitfully augmented by the auctour, contayning plaine, briefe, pleasau[n]t, chosen rules to iudge the weather by the sunne, moone, starres, comets, rainebow, thunder, cloudes, with other extraordinary tokens, not omitting the aspects of planets, vvith a briefe iudgement for euer, of plenty, lacke, sickenes, dearth, vvarres &c. ... To these and other now at the last, are ioyned diuers generall pleasaunt tables, with manye compendious rules ... Published by Leonard Digges Gentleman. Latly corrected and augmented by Thomas Digges his sonne |
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Pubbl/distr/stampa |
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Imprinted at London, : By Thomas Marsh, Anno 1583 [i.e. 1584] |
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Descrizione fisica |
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[2], 42, [12] leaves, folded plate : ill |
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Altri autori (Persone) |
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DiggesThomas <approximately 1546-1595> |
CopernicusNicolaus <1473-1543.> |
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Soggetti |
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Meteorology |
Astrology |
Almanacs, English |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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The addition contains a translation of part of book 1 of: Copernicus, Nicolaus. De revolutionibus orbium caelestium. |
Colophon dated 1584. |
The folded plate, a woodcut following leaf 42, is foliated 43. |
Originally published in 1555 as: A prognostication of right good effect. |
Identified as STC 6866 on UMI microfilm. |
Reproduction of the original in the Henry E. Huntington Library and Art Gallery. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910784544603321 |
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Titolo |
Occupancy estimation and modeling [[electronic resource] ] : inferring patterns and dynamics of species / / Darryl I. MacKenzie ... [et al] |
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Pubbl/distr/stampa |
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Amsterdam ; ; Boston, : Elsevier, c2006 |
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ISBN |
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1-280-62849-9 |
9786610628490 |
0-08-045504-2 |
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Descrizione fisica |
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1 online resource (343 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Animal populations - Estimates |
Animal populations - Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 293-312). |
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Nota di contenuto |
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Front cover; Title page; Copyright page; 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 MONITORING2.5. 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; Bias; Precision (Variance and Standard Error); Accuracy (Mean Squared Error); COMPUTER-INTENSIVE METHODS; 3.2. MAXIMUM LIKELIHOOD ESTIMATION METHODS; MAXIMUM LIKELIHOOD ESTIMATORS |
PROPERTIES OF MAXIMUM LIKELIHOOD ESTIMATORSVARIANCES, |
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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 SITUATION4.2. 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; Constant Detection Probability Model; Survey-specific Detection Probability Model; Probability of Occupancy Given Species Not Detected at a Site; EXAMPLE: BLUE-RIDGE TWO-LINED SALAMANDERS; MISSING OBSERVATIONS; COVARIATE MODELING; VIOLATIONS OF MODEL ASSUMPTIONS; ASSESSING MODEL FIT; EXAMPLES; Pronghorn Antelope |
Mahoenui Giant Weta4.5. 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: BREEDING BIRD POINT COUNT DATA; 5.3. GENERALIZATIONS: COVARIATE EFFECTS; 5.4. EXAMPLE: ANURAN CALLING SURVEY DATA |
5.5. ON THE IDENTIFIABILITY OF ? |
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Sommario/riassunto |
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Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct estimation of the occupancy-related parameters while allowing for imperfect detectability, and make recommendations for designing studies using these models.* Provides authoritative insigh |
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