"Statistical Methods for Field and Laboratory Studies in Behavioral Ecology" - Information and Links:

Statistical Methods for Field and Laboratory Studies in Behavioral Ecology

Book's cover
The cover of “Statistical Methods for Field and Laboratory Studies in Behavioral Ecology” - Google Books.

"Statistical Methods for Field and Laboratory Studies in Behavioral Ecology" is published by Taylor & Francis Group in 2018 - Boca Raton, Florida, the book is classified in Animal behavior genre, it has 302 pages and the language of the book is English.


“Statistical Methods for Field and Laboratory Studies in Behavioral Ecology” Metadata:

  • Title: ➤  Statistical Methods for Field and Laboratory Studies in Behavioral Ecology
  • Authors:
  • Language: English
  • Number of Pages: 302
  • Is Family Friendly: Yes - No Mature Content
  • Publisher: Taylor & Francis Group
  • Publish Date:
  • Publish Location: Boca Raton, Florida
  • Genres: Animal behavior

“Statistical Methods for Field and Laboratory Studies in Behavioral Ecology” Subjects and Themes:

Edition Specifications:

  • Weight: 0.568
  • Pagination: 302

Edition Identifiers:

AI-generated Review of “Statistical Methods for Field and Laboratory Studies in Behavioral Ecology”:


Snippets and Summary:

Statistical Methods for Field and Laboratory Studies in Behavioral Ecology focuses on how statistical methods may be used to make sense of behavioral ecology and other data.

"Statistical Methods for Field and Laboratory Studies in Behavioral Ecology" Description:

Google Books:

Statistical Methods for Field and Laboratory Studies in Behavioral Ecology provides the reader with an explanation of how statistical methods may be used to make sense of behaviroral ecology and other types of data. The text is fairly self-contained, in that is presents fundamental concepts in statistical inference as well as intermediate topics such as multiple least squares regression and ANOVA. However, advanced methods not contained in a first applied statistics course, including multivariate methods such as clustering, survival analysis, time series modeling, and machine learning methods such as neural networks and Bayesian model averaging, are included. The goal is for the reader to be able to recognize situations arising in behavioral ecology research, where various statistical methods should be used, understand the strengths and limitations of those methods, and learn how these methods are implemented in R code. Examples are based on research described in the literature of behavioral ecology, with date sets (generated via simulation) and analysis code provided--back cover.

Open Data:

Statistical Methods for Field and Laboratory Studies in Behavioral Ecology provides the reader with an explanation of how statistical methods may be used to make sense of behavioral ecology and other types of data. The text is fairly self-contained, in that is presents fundamental concepts in statistical inference as well as intermediate topics such as multiple least squares regression and ANOVA. However, advanced methods not contained in a first applied statistics course, including multivariate methods such as clustering, survival analysis, time series modeling, and machine learning methods such as neural networks and Bayesian model averaging, are included. The goal is for the reader to be able to recognize situations arising in behavioral ecology research, where various statistical methods should be used, understand the strengths and limitations of those methods, and learn how these methods are implemented in R code. Examples are based on research described in the literature of behavioral ecology, with date sets (generated via simulation) and analysis code provided--back cover

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