Fundamental Statistical Principles for the Neurobiologist

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  • Publisher : Academic Press
  • Release : 01 September 2016
  • ISBN : 0128047534
  • Page : 200 pages
  • Rating : 4.5/5 from 103 voters

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Fundamental Statistical Principles for Neurobiologists and Neuroscientists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. It limits the use of statistical equations and only uses them when it is important for the understanding of a particular test in language that is more understandable to the neuroscientist, with the purpose of explaining which statistical technique should be used in which situation. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist. Different types of data are discussed such as how to formulate a research hypothesis. The next section addresses the two primary types of statistical errors and also the concept of statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, and regression. There are lengthy discussions on the use of the analysis of variance (ANOVA) and what post hoc comparison should or should not be used, covering both one-way and multi-factorial experiments. There is also a chapter on nonparametric (distribution free) statistical techniques and instructions on when to use parametric vs. nonparametric statistical tests, which is often a source of confusion for neuroscientists. Finally, there is a discussion on how to deal with data points that appear to be "outliers" and what to do when there is missing data, an issue that has not sufficiently been covered in literature. *An introductory guide to statistics aimed specifically at the neuroscience audience *Contains numerous examples with actual data that is used in the analysis *Covers the basic information that gives the investigator a starting pointing for evaluating data in easy-to-understand language *Discusses and explains many different statistical tests that are commonly used in the neuroscience literature

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Fundamental Statistical Principles for the Neurobiologist

Fundamental Statistical Principles for the Neurobiologist
  • Author : Stephen W. Scheff
  • Publisher : Academic Press
  • Release Date : 2016-09-01
  • ISBN : 0128047534
GET THIS BOOKFundamental Statistical Principles for the Neurobiologist

Fundamental Statistical Principles for Neurobiologists and Neuroscientists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. It limits the use of statistical equations and only uses them when it is important for the understanding of a particular test in language that is more understandable to the neuroscientist, with the purpose of explaining which statistical technique should be used in which situation. This book is an introductory statistics book that covers fundamental principles written by a

Fundamental Statistical Principles for the Neurobiologist

Fundamental Statistical Principles for the Neurobiologist
  • Author : Stephen W. Scheff
  • Publisher : Academic Press
  • Release Date : 2016-02-11
  • ISBN : 9780128050514
GET THIS BOOKFundamental Statistical Principles for the Neurobiologist

Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with

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GET THIS BOOKMachine Learning and Principles and Practice of Knowledge Discovery in Databases

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  • ISBN : 9781351061216
GET THIS BOOKSignal Processing and Machine Learning for Biomedical Big Data

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GET THIS BOOKTECHNOLOGIES, ARTIFICIAL INTELLIGENCE AND THE FUTURE OF LEARNING POST-COVID-19

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GET THIS BOOKAdvances in Data Computing, Communication and Security

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