Author: United States. Bureau of Agricultural Economics
Publisher:
ISBN:
Category : Seed industry and trade
Languages : en
Pages : 70

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Book Description

Author:
Publisher:
ISBN:
Category : Cover crops
Languages : en
Pages : 104

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Book Description

Author: Gordon A. Fox
Publisher:
ISBN: 0199672555
Category : Computers
Languages : en
Pages : 407

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Book Description
The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics. This novel book synthesizes a number of these changes, addressing key approaches and issues that tend to be overlooked in other books such as missing/censored data, correlation structure of data, heterogeneous data, and complex causal relationships. These issues characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges. Uniquely, Ecological Statistics highlights the underlying links among many statistical approaches that attempt to tackle these issues. In particular, it gives readers an introduction to approaches to inference, likelihoods, generalized linear (mixed) models, spatially or phylogenetically-structured data, and data synthesis, with a strong emphasis on conceptual understanding and subsequent application to data analysis. Written by a team of practicing ecologists, mathematical explanations have been kept to the minimum necessary. This user-friendly textbook will be suitable for graduate students, researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology who are interested in updating their statistical tool kits. A companion web site provides example data sets and commented code in the R language.

Author: Canada. Dominion Bureau of Statistics. Division of Agriculture
Publisher:
ISBN:
Category :
Languages : en
Pages : 696

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Author:
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 1038

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Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 502

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Book Description

Author: United States. Department of Agriculture. Statistical Reporting Service
Publisher:
ISBN:
Category : Agricultural estimating and reporting
Languages : en
Pages : 244

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Book Description
The Statistical Reporting Service is the main fact-gathering agency of the U.S. Department of Agriculture. This organization for collecting and disseminating current primary data on agriculture has been in operation for more than 100 years. Although the name of the organization has changed several times and its job has become bigger, its major objective has remained the same, which is to report the basic statistical facts of the nation's agriculture.

Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 704

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Book Description
A directory of U.S. government statistics publications by issuing agency. Entries include GPO stock number, LC and Dewey classification, OCLC and ISSN numbers, and sometimes a description. Includes geographic index.

Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 488

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Book Description

Author: Randall Matignon
Publisher: John Wiley & Sons
ISBN: 0470149019
Category : Mathematics
Languages : en
Pages : 584

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Book Description
The most thorough and up-to-date introduction to data mining techniques using SAS Enterprise Miner. The Sample, Explore, Modify, Model, and Assess (SEMMA) methodology of SAS Enterprise Miner is an extremely valuable analytical tool for making critical business and marketing decisions. Until now, there has been no single, authoritative book that explores every node relationship and pattern that is a part of the Enterprise Miner software with regard to SEMMA design and data mining analysis. Data Mining Using SAS Enterprise Miner introduces readers to a wide variety of data mining techniques and explains the purpose of-and reasoning behind-every node that is a part of the Enterprise Miner software. Each chapter begins with a short introduction to the assortment of statistics that is generated from the various nodes in SAS Enterprise Miner v4.3, followed by detailed explanations of configuration settings that are located within each node. Features of the book include: The exploration of node relationships and patterns using data from an assortment of computations, charts, and graphs commonly used in SAS procedures A step-by-step approach to each node discussion, along with an assortment of illustrations that acquaint the reader with the SAS Enterprise Miner working environment Descriptive detail of the powerful Score node and associated SAS code, which showcases the important of managing, editing, executing, and creating custom-designed Score code for the benefit of fair and comprehensive business decision-making Complete coverage of the wide variety of statistical techniques that can be performed using the SEMMA nodes An accompanying Web site that provides downloadable Score code, training code, and data sets for further implementation, manipulation, and interpretation as well as SAS/IML software programming code This book is a well-crafted study guide on the various methods employed to randomly sample, partition, graph, transform, filter, impute, replace, cluster, and process data as well as interactively group and iteratively process data while performing a wide variety of modeling techniques within the process flow of the SAS Enterprise Miner software. Data Mining Using SAS Enterprise Miner is suitable as a supplemental text for advanced undergraduate and graduate students of statistics and computer science and is also an invaluable, all-encompassing guide to data mining for novice statisticians and experts alike.