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

Principles of statistical techniques

Moore, P. G.

- 71 Want to read
- 7 Currently reading

Published
**1969**
by Cambridge University Press in London
.

Written in English

**Edition Notes**

Previous ed.: 1958.

The Physical Object | |
---|---|

Pagination | viii, 288p. : |

Number of Pages | 288 |

ID Numbers | |

Open Library | OL13713301M |

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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Source: Journal of the Royal Statistical Society ‘In general, Professor Moore’s book is a good survey of the basics of statistical techniques, and as such is to be recommended to students at both school, college and university who wish to have a working knowledge of the practical application of caskel.com: P.

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Principles & Methods of Statistical Analysis By presenting examples and principles of statistics within the context of these timely issues, the text shows how the results of analyses can be used to answer research questions.

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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David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation/5.

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The book is organized into four sections. Abstract: Statistics represents that body of methods by which characteristics of a population are inferred through observations made in a representative sample from that population.

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[P G Moore] -- This is a straightforward and practical introduction to statistics for students without any advanced knowledge of mathematics who need to use statistical techniques. Statistical Inference (PDF) 2nd Edition builds theoretical statistics from the first principles of probability theory.

Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts.

Elementary Principles In Statistical Mechanics. This book explains the following topics: General Notions, The Principle Of Conservation Of Extension-in-phase, Thermodynamic Analogies, Application Of the Principle Of Conservation Of Extension-in-phase To The Theory Of Errors, Average Values in A Canonical Ensemble Of Systems, Extension-in-configuration and Extension-in-velocity.

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The new, corrected Dover edition of Principles of Statistics makes this invaluable mid-level text available once again for the classroom or for self-study.4/5(1). This book is intended mainly for agricultural and biological students taking postgraduate courses which include statistics as a supporting subject.

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