1 edition of **Principles of statistical techniques** found in the catalog.

Principles of statistical techniques

Moore, P. G.

- 395 Want to read
- 12 Currently reading

Published
**1958**
by Cambridge University Press in London
.

Written in English

- Statistics

**Edition Notes**

Statement | by P. G. Moore |

Classifications | |
---|---|

LC Classifications | HA29 .M78 |

The Physical Object | |

Pagination | viii, 236 p. : |

Number of Pages | 236 |

ID Numbers | |

Open Library | OL25364845M |

LC Control Number | 58059631 |

Basic Statistical Principles. In this section, basic principles of statistical analysis are described focusing on the time course measured at a single voxel. In the figure above two fMRI time courses are shown, which have been obtained from two different voxels in an experiment with two conditions, a control condition ("Rest") and a main. 2 Fu n d a m e n ta l Stat i S t i c S co n c e p t S in pr e S e n t i n g da t a This text was developed as the course notes for the course Fundamental Statistical Concepts in Presenting Data; Principles for Constructing Better Graphics, as presented by Rafe Donahue at the.

Analysis in Nutrition Research: Principles of Statistical Methodology and Interpretation of the Results describes, in a comprehensive manner, the methodologies of quantitative analysis of data originating specifically from nutrition studies. The book summarizes various study designs in nutrition research, research hypotheses, the proper. Fundamental Principles, Techniques, and Applications A publication by: The Army Logistics University ORSA Committee the writing and editing of this book as well as the creation of the excel templates. statistical, numerical, and computer lines of theory and development (Figure ).

Description: This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It is written for the user and potential user of multivariate techniques as well as for postgraduate students coming to the subject for the first time. This book discusses topics related to bioinformatics, statistics, Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications. Editors: Srinivasa, K. G., Book Title Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications.

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New techniques for data analysis and a wide range of topics are covered, including how to deal with “messy data. Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner.

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