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1. |
Record Nr. |
UNINA9910481035803321 |
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Titolo |
Fish Ecology [[electronic resource] /] / edited by Robert J. Wootton |
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Pubbl/distr/stampa |
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Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 1992 |
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ISBN |
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Edizione |
[1st ed. 1992.] |
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Descrizione fisica |
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1 online resource (X, 212 p.) |
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Collana |
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Disciplina |
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Soggetti |
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Aquatic ecology |
Zoology |
Ecotoxicology |
Freshwater & Marine Ecology |
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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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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1 The Environment, Organisms and Relationships -- 2 Effects of Abiotic Environmental Identities on Distribution -- 3 Biotic Factors and the Structure of Fish Communities -- 4 Migration, Territoriality and Shoaling in Fishes -- 5 Feeding and Growth -- 6 Life-Histories and Population Dynamics -- 7 Applied Ecology of Fishes -- Appendix Classification of living fishes -- References. |
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Sommario/riassunto |
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Fishes live in a world that is unfamiliar to us. Although we may make or even more advanced brief visits to this other world using a snorkel, scuba diving equipment, we can never become a part of it. Yet, an understanding of fish ecology requires an awareness of the relationships between fishes and their environment. The purpose of this book is to introduce the ecology of fishes by describing the inter-relationships between fishes and the aquatic habitats they occupy. The book can be read in complementary ways. A sequential reading, chapter by chapter, covers the main themes of ecology, including habitat use, species interactions, migration, feeding, population dynamics and reproduction in relation to the major habitats occupied by fishes. An alternative reading selects a particular sort of habitat, such as rivers, and, by using the index and skipping from chapter to chapter, builds up a picture of the ecology of fishes living in that |
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habitat. The text is written for advanced students. Its emphasis is on descriptive rather than quantitative ecology. It is assumed that the reader will be familiar with the basic biology of fishes, acquired from a text such as The Biology of Fishes (Bone and Marshall, 1982) also published in the Tertiary Level Biology series. I would like to thank Dr J. D. Fish and two anonymous reviewers who, within a tight time-schedule, tried to improve the text. Any mistakes and shortcomings are my contribution. |
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2. |
Record Nr. |
UNINA9911019996103321 |
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Autore |
Cook R. Dennis |
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Titolo |
Applied regression including computing and graphics / / R. Dennis Cook, Sanford Weisberg |
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Pubbl/distr/stampa |
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ISBN |
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9786612307515 |
9781282307513 |
1282307517 |
9780470316948 |
0470316942 |
9780470317785 |
0470317787 |
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Descrizione fisica |
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1 online resource (632 p.) |
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Collana |
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Wiley series in probability and statistics. Texts and references section |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Regression analysis |
Multivariate analysis |
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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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"A Wiley-Interscience publication." |
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Nota di bibliografia |
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Includes bibliographical references (p. 571-578) and indexes. |
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Nota di contenuto |
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Applied Regression Including Computing and Graphics; Contents; Preface; PART I INTRODUCTION; 1 Looking Forward and Back; 1.1 Example: Haystack Data; 1.2 Example: Bluegill Data; 1.3 Loading Data into Arc; 1.4 Numerical Summaries; 1.4.1 Display Summaries; 1.4.2 Command Line; 1.4.3 Displaying Data; 1.4.4 Saving Output to a File |
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and Printing; 1 .5 Graphical Summaries; 1.5.1Histograms; 1.5.2 Boxplots; 1.6.Bringing in the Population; 1.6. I The Density Function; 1.6.2 Normal Distribution; I .6.3 Computing Normal Quantiles; 1.6.4 Computing Normal Probabilities; 1.6.5 Boxplots of Normal Data |
1.6.6 The Sampling Distribution of the Mean1.7 Inference; 1.7.1 Sample Mean; 1.7.2 Confidence Interval for the Mean; 1.7.3 Probability of a Record Bluegill; 1.8 Complements; Problems; 2 Introduction to Regression; 2.1 Using Boxplots to Study Length \ Age; 2.2 Using a Scatterplot to Study Length \ Age; 2.3 Mouse Modes; 2.3.1 Show Coordinates Mouse Mode; 2.3.2 Slicing Mode; 2.3.3 Brushing Mode; 2.4 Characterizing Length\ Age; 2.5 Mean and Variance Functions; 2.5.1 Mean Function; 2.5.2 Variance Function; 2.6 Highlights; 2.7 Complements; Problems; 3 Introduction to Smoothing |
3.1 Slicing a Scatterplot3.2 Estimating E(y I x) by Slicing; 3.3 Estimating E(y Ix) by Smoothing; 3.4 Checking a Theory; 3.5 Boxplots; 3.6 Snow Geese; 3.6.1 Snow Goose Regression; 3.6.2 Mean Function; 3.6.3 Variance Function; 3.7 Complements; Problems; 4 Bivariate Distributions; 4.1 General Bivariate Distributions; 4.1.1 Bivariate Densities; 4.1.2 Connecting with Regression; 4.1.3 Independence; 4.1.4 Covariance; 4.1.5 Correlation Coefficient; 4.2 Bivariate Normal Distribution; 4.2.1 Correlation Coefficient in Normal Populations; 4.2.2 Correlation Coefficient in Non-normal Populations |
4.3.Regression in Bivariate Normal Populations4.3.1 Mean Function; 4.3.2 Mean Function in Standardized Variables; 4.3.3 Mean Function as a Straight Line; 4.3.4 Variance Function; 4.4 Smoothing Bivariate Normal Data; 4.5 Complements; 4.5.1 Confidence Interval for a Correlation; 4.5.2 References; Problems; 5 Two-Dimensional Plots; 5.1 Aspect Ratio and Focusing; 5.2 Power Transformations; 5.3 Thinking about Power Transformations; 5.4 Log Transformations; 5.5 Showing Labels and Coordinates; 5.6 Linking Plots; 5.7 Point Symbols and Colors; 5.8 Brushing; 5.9 Name Lists; 5.10 Probability Plots |
5.11 ComplementsProblems; PART II. TOOLS; 6 Simple Linear Regression; 6.1 Simple Linear Regression; 6.2 Least Squares Estimation; 6.2.1 Notation; 6.2.2 The Least Squares Criterion; 6.2.3 Ordinary Least Squares Estimators; 6.2.4 More on Sample Correlation; 6.2.5 Some Properties of Least Squares Estimates; 6.2.6 Estimating the Common Variance, (T*; 6.2.7 Summary; 6.3 Using Arc; 6.3.1 Interpreting the Intercept; 6.4 Inference; 6.4.1 Inferences about Parameters; 6.4.2 Estimating Population Means; 6.4.3 Prediction; 6.5 Forbes' Experiments, Revisited; 6.6 Model Comparison; 6.6.1 Models |
6.6.2 Analysis of Variance |
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Sommario/riassunto |
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A step-by-step guide to computing and graphics in regression analysisIn this unique book, leading statisticians Dennis Cook and Sanford Weisberg expertly blend regression fundamentals and cutting-edge graphical techniques. They combine and up- date most of the material from their widely used earlier work, An Introduction to Regression Graphics, and Weisberg's Applied Linear Regression; incorporate the latest in statistical graphics, computing, and regression models; and wind up with a modern, fully integrated approach to one of the most important tools of data analysis.In 23 co |
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