Tree and Forest Measurement
Tree and Forest Measurement

Author: Phil West

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 184

ISBN-13: 3662054361

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Everyone who works with forests must measure them, foresters, forestry students, scientists or forest owners. This book summarises modern forest measurement techniques for all those people. It describes how to measure forests, why they are measured and the basis of the science behind the measurements. Trees and forests are large and complex, but even something as difficult as the amount of wood they contain can be measured with quite unsophisticated equipment. This is a book written for all, from professional foresters to the lay person, in fact anyone who needs to measure forests anywhere in the world.

Sampling
Sampling

Author: Sharon L. Lohr

Publisher: CRC Press

Published: 2021-11-30

Total Pages: 678

ISBN-13: 1000478238

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"The level is appropriate for an upper-level undergraduate or graduate-level statistics major. Sampling: Design and Analysis (SDA) will also benefit a non-statistics major with a desire to understand the concepts of sampling from a finite population. A student with patience to delve into the rigor of survey statistics will gain even more from the content that SDA offers. The updates to SDA have potential to enrich traditional survey sampling classes at both the undergraduate and graduate levels. The new discussions of low response rates, non-probability surveys, and internet as a data collection mode hold particular value, as these statistical issues have become increasingly important in survey practice in recent years... I would eagerly adopt the new edition of SDA as the required textbook." (Emily Berg, Iowa State University) What is the unemployment rate? What is the total area of land planted with soybeans? How many persons have antibodies to the virus causing COVID-19? Sampling: Design and Analysis, Third Edition shows you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches the principles of sampling with examples from social sciences, public opinion research, public health, business, agriculture, and ecology. Readers should be familiar with concepts from an introductory statistics class including probability and linear regression; optional sections contain statistical theory for readers familiar with mathematical statistics. The third edition, thoroughly revised to incorporate recent research and applications, includes a new chapter on nonprobability samples—when to use them and how to evaluate their quality. More than 200 new examples and exercises have been added to the already extensive sets in the second edition. SDA’s companion website contains data sets, computer code, and links to two free downloadable supplementary books (also available in paperback) that provide step-by-step guides—with code, annotated output, and helpful tips—for working through the SDA examples. Instructors can use either R or SAS® software. SAS® Software Companion for Sampling: Design and Analysis, Third Edition by Sharon L. Lohr (2022, CRC Press) R Companion for Sampling: Design and Analysis, Third Edition by Yan Lu and Sharon L. Lohr (2022, CRC Press)

Maximum Likelihood Estimation for Sample Surveys
Maximum Likelihood Estimation for Sample Surveys

Author: Raymond L. Chambers

Publisher: CRC Press

Published: 2012-05-02

Total Pages: 393

ISBN-13: 1584886323

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Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to biased and inefficient estimates. Maximum Likelihood Estimation for Sample Surveys presents an overview of likelihood methods for the analysis of sample survey data that account for the selection methods used, and includes all necessary background material on likelihood inference. It covers a range of data types, including multilevel data, and is illustrated by many worked examples using tractable and widely used models. It also discusses more advanced topics, such as combining data, non-response, and informative sampling. The book presents and develops a likelihood approach for fitting models to sample survey data. It explores and explains how the approach works in tractable though widely used models for which we can make considerable analytic progress. For less tractable models numerical methods are ultimately needed to compute the score and information functions and to compute the maximum likelihood estimates of the model parameters. For these models, the book shows what has to be done conceptually to develop analyses to the point that numerical methods can be applied. Designed for statisticians who are interested in the general theory of statistics, Maximum Likelihood Estimation for Sample Surveys is also aimed at statisticians focused on fitting models to sample survey data, as well as researchers who study relationships among variables and whose sources of data include surveys.

Survey Sampling Theory and Applications
Survey Sampling Theory and Applications

Author: Raghunath Arnab

Publisher: Academic Press

Published: 2017-03-08

Total Pages: 932

ISBN-13: 0128118970

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Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling. The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here are not available in other text books. In each section, theories are illustrated with numerical examples. At the end of each chapter theoretical as well as numerical exercises are given which can help graduate students. - Covers a wide spectrum of topics on survey sampling and statistics - Serves as an ideal text for graduate students and researchers in survey sampling theory and applications - Contains material on recent developments in survey sampling not covered in other books - Illustrates theories using numerical examples and exercises

Author:

Publisher: Delene Kvasnicka

Published:

Total Pages: 68

ISBN-13:

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Integrated Restoration of Forested Ecosystems to Achieve Multiresource Benefits
Integrated Restoration of Forested Ecosystems to Achieve Multiresource Benefits

Author:

Publisher:

Published: 2008

Total Pages: 320

ISBN-13:

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"A primary mission of the U.S. Department of Agriculture Forest Service is multiple resource management, and one of the emerging themes is forest restoration. The National Silviculture Workshop, a biennial event co-sponsored by the Forest Service, was held May 7-10, 2007, in Ketchikan, Alaska, with the theme of "Integrated Restoration of Forested Ecosystems to Achieve Multiresource Benefits." This proceedings presents a compilation of state-of-the-art silvicultural research and forestry management papers that demonstrates integrated restoration to yield multiple resource benefits. These papers highlight national perspectives on ecosystem services, forest restoration and climate change, and regional perspectives on forest restoration and silvicultural practices to achieve multiple resource benefits from researchers and forest practitioners working in a broad array of forest types in the United States."