Author: J. K. Ord
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 506
Book Description
Chance mechanisms underlying statistical distributions. Ecological advances involving statistical distributions. Abundance models. Research papers.
Statistical Distributions in Ecological Work
Author: J. K. Ord
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 506
Book Description
Chance mechanisms underlying statistical distributions. Ecological advances involving statistical distributions. Abundance models. Research papers.
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 506
Book Description
Chance mechanisms underlying statistical distributions. Ecological advances involving statistical distributions. Abundance models. Research papers.
Statistical Distribution in Scientific Work
Author: Charles Taillie
Publisher: Springer Science & Business Media
ISBN: 9789027713346
Category : Mathematics
Languages : en
Pages : 482
Book Description
Proceedings of the NATO Advanced Study Institute, Trieste, Italy, July 10-August 1, 1980
Publisher: Springer Science & Business Media
ISBN: 9789027713346
Category : Mathematics
Languages : en
Pages : 482
Book Description
Proceedings of the NATO Advanced Study Institute, Trieste, Italy, July 10-August 1, 1980
Statistical Distributions in Scientific Work
Author: Charles Taillie
Publisher: Springer Science & Business Media
ISBN: 9400985525
Category : Mathematics
Languages : en
Pages : 450
Book Description
Proceedings of the NATO Advanced Study Institute, Trieste, Italy, July 10-August 1, 1980
Publisher: Springer Science & Business Media
ISBN: 9400985525
Category : Mathematics
Languages : en
Pages : 450
Book Description
Proceedings of the NATO Advanced Study Institute, Trieste, Italy, July 10-August 1, 1980
Handbook of Environmental and Ecological Statistics
Author: Alan E. Gelfand
Publisher: CRC Press
ISBN: 1498752128
Category : Mathematics
Languages : en
Pages : 876
Book Description
This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.
Publisher: CRC Press
ISBN: 1498752128
Category : Mathematics
Languages : en
Pages : 876
Book Description
This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.
Ecological Models and Data in R
Author: Benjamin M. Bolker
Publisher: Princeton University Press
ISBN: 0691125228
Category : Computers
Languages : en
Pages : 408
Book Description
Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.
Publisher: Princeton University Press
ISBN: 0691125228
Category : Computers
Languages : en
Pages : 408
Book Description
Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.
Statistical Ecology
Author: Linda J. Young
Publisher: Springer Science & Business Media
ISBN: 1475728298
Category : Science
Languages : en
Pages : 581
Book Description
Covering a wide range of disciplines, this book explains the formulae, techniques, and methods used in field ecology. By providing an awareness of the statistical foundation for existing methods, the book will make biologists more aware of the strengths and possible weaknesses of procedures employed, and statisticians more appreciative of the needs of the field ecologist. Unique to this book is a focus on ecological data for single-species populations, from sampling through modeling. Examples come from real situations in pest management, forestry, wildlife biology, plant protection, and environmental studies, as well as from classical ecology. All those using this book will acquire a strong foundation in the statistical methods of modern ecological research. This textbook is for late undergraduate and graduate students, and for professionals.
Publisher: Springer Science & Business Media
ISBN: 1475728298
Category : Science
Languages : en
Pages : 581
Book Description
Covering a wide range of disciplines, this book explains the formulae, techniques, and methods used in field ecology. By providing an awareness of the statistical foundation for existing methods, the book will make biologists more aware of the strengths and possible weaknesses of procedures employed, and statisticians more appreciative of the needs of the field ecologist. Unique to this book is a focus on ecological data for single-species populations, from sampling through modeling. Examples come from real situations in pest management, forestry, wildlife biology, plant protection, and environmental studies, as well as from classical ecology. All those using this book will acquire a strong foundation in the statistical methods of modern ecological research. This textbook is for late undergraduate and graduate students, and for professionals.
Statistics in the Environmental Sciences
Author: Steven M. Gertz
Publisher: ASTM International
ISBN: 9780803102064
Category : Science
Languages : en
Pages : 131
Book Description
Publisher: ASTM International
ISBN: 9780803102064
Category : Science
Languages : en
Pages : 131
Book Description
Multivariate Methods in Ecological Work
Author: László Orlóci
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 592
Book Description
The past decade has seen a grat increases in the level of interest in bringing multivariate techniques to bear on problems in ecology. In some cases the approach has been to simply apply one of the standard multivariate techniques. In other cases the uniqueness of the ecological problem has required that new ans innovative techniques be development.
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 592
Book Description
The past decade has seen a grat increases in the level of interest in bringing multivariate techniques to bear on problems in ecology. In some cases the approach has been to simply apply one of the standard multivariate techniques. In other cases the uniqueness of the ecological problem has required that new ans innovative techniques be development.
Statistical Ecology
Author: John A. Ludwig
Publisher: John Wiley & Sons
ISBN: 9780471832355
Category : Mathematics
Languages : en
Pages : 362
Book Description
Ecological community data. Spatial pattern analysis. Species-abundance relations. Species affinity. Community classification. Community ordination. Community interpretation.
Publisher: John Wiley & Sons
ISBN: 9780471832355
Category : Mathematics
Languages : en
Pages : 362
Book Description
Ecological community data. Spatial pattern analysis. Species-abundance relations. Species affinity. Community classification. Community ordination. Community interpretation.
Univariate Discrete Distributions
Author: Norman L. Johnson
Publisher: John Wiley & Sons
ISBN: 0471715808
Category : Mathematics
Languages : en
Pages : 676
Book Description
This Set Contains: Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Continuous Univariate Distributions, Volume 1, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Continuous Univariate Distributions, Volume 2, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Discrete Multivariate Distributions by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Univariate Discrete Distributions, 3rd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Discover the latest advances in discrete distributions theory The Third Edition of the critically acclaimed Univariate Discrete Distributions provides a self-contained, systematic treatment of the theory, derivation, and application of probability distributions for count data. Generalized zeta-function and q-series distributions have been added and are covered in detail. New families of distributions, including Lagrangian-type distributions, are integrated into this thoroughly revised and updated text. Additional applications of univariate discrete distributions are explored to demonstrate the flexibility of this powerful method. A thorough survey of recent statistical literature draws attention to many new distributions and results for the classical distributions. Approximately 450 new references along with several new sections are introduced to reflect the current literature and knowledge of discrete distributions. Beginning with mathematical, probability, and statistical fundamentals, the authors provide clear coverage of the key topics in the field, including: Families of discrete distributions Binomial distribution Poisson distribution Negative binomial distribution Hypergeometric distributions Logarithmic and Lagrangian distributions Mixture distributions Stopped-sum distributions Matching, occupancy, runs, and q-series distributions Parametric regression models and miscellanea Emphasis continues to be placed on the increasing relevance of Bayesian inference to discrete distribution, especially with regard to the binomial and Poisson distributions. New derivations of discrete distributions via stochastic processes and random walks are introduced without unnecessarily complex discussions of stochastic processes. Throughout the Third Edition, extensive information has been added to reflect the new role of computer-based applications. With its thorough coverage and balanced presentation of theory and application, this is an excellent and essential reference for statisticians and mathematicians.
Publisher: John Wiley & Sons
ISBN: 0471715808
Category : Mathematics
Languages : en
Pages : 676
Book Description
This Set Contains: Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Continuous Univariate Distributions, Volume 1, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Continuous Univariate Distributions, Volume 2, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Discrete Multivariate Distributions by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Univariate Discrete Distributions, 3rd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Discover the latest advances in discrete distributions theory The Third Edition of the critically acclaimed Univariate Discrete Distributions provides a self-contained, systematic treatment of the theory, derivation, and application of probability distributions for count data. Generalized zeta-function and q-series distributions have been added and are covered in detail. New families of distributions, including Lagrangian-type distributions, are integrated into this thoroughly revised and updated text. Additional applications of univariate discrete distributions are explored to demonstrate the flexibility of this powerful method. A thorough survey of recent statistical literature draws attention to many new distributions and results for the classical distributions. Approximately 450 new references along with several new sections are introduced to reflect the current literature and knowledge of discrete distributions. Beginning with mathematical, probability, and statistical fundamentals, the authors provide clear coverage of the key topics in the field, including: Families of discrete distributions Binomial distribution Poisson distribution Negative binomial distribution Hypergeometric distributions Logarithmic and Lagrangian distributions Mixture distributions Stopped-sum distributions Matching, occupancy, runs, and q-series distributions Parametric regression models and miscellanea Emphasis continues to be placed on the increasing relevance of Bayesian inference to discrete distribution, especially with regard to the binomial and Poisson distributions. New derivations of discrete distributions via stochastic processes and random walks are introduced without unnecessarily complex discussions of stochastic processes. Throughout the Third Edition, extensive information has been added to reflect the new role of computer-based applications. With its thorough coverage and balanced presentation of theory and application, this is an excellent and essential reference for statisticians and mathematicians.