1 edition of **Statistical analysis** found in the catalog.

Statistical analysis

- 280 Want to read
- 12 Currently reading

Published
**1979**
by U.S. Dept. of Energy, Office of Conservation and Solar Energy, Office of Buildings and Community Systems in Washington, D.C
.

Written in English

- Architecture and energy conservation -- United States -- Statistical methods,
- Buildings -- Energy conservation -- Statistical methods

**Edition Notes**

Other titles | Energy performance standards for new buildings |

Contributions | United States. Dept. of Energy. Office of Buildings and Community Systems |

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

Pagination | 501 p. in various pagings : |

Number of Pages | 501 |

ID Numbers | |

Open Library | OL14216949M |

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Without any prior experience in programming or statistical software, this book will help you quickly become a knowledgeable user of R. Now is the time to take control of your data and start producing superior statistical analysis with R. This book will take you on a journey as the strategist for an ancient Chinese kingdom. Understanding the world of R programming and analysis has never been easierMost guides to R, whether books or online, focus on R functions and procedures. But now, thanks to - Selection from Statistical Analysis with R For Dummies [Book].

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Statistical Analysis Handbook A Comprehensive Handbook of Statistical Concepts, Techniques and Software Tools electronic book and web-accessible formats only. Disclaimer: This publication is designed to offer accurate and authoritative information in regard to is the primary function of modern statistical methods.

Statistical Analysis with Missing Data (Wiley Series in Probability and Statistics) by Roderick J. Little and Donald B. Rubin | Apr 30, out of 5 stars 4. The Glenn Cowan's book is one of the best books I ever read about statistical data analysis in experimental physics.

The explanations are clear and easy to follow (much better than the Eadie's book, with comparable level).Cited by: book is somewhat less theoretically oriented than that of Eadie et al. [Ead71]' and somewhat more so than those of Lyons [Ly] and Barlow [Bar89].

The first part of the book, Chapters 1 through 8, covers basic concepts of probability and random variables, Monte Carlo techniques, statistical tests, and methods of parameter estimation. Statistics as Principled Argument by Abelson is a good side book to learning statistics, particularly if your substantive field is in the social sciences.

It won't teach you how to do analysis, but it will teach you about statistical thinking. I reviewed this book here. Specializing in functions this book presents the tools and concepts of multivariate data analysis in a strategy that is understandable for non-mathematicians and practitioners who need to analysis statistical data.

The book surveys the important guidelines of multivariate statistical data analysis and emphasizes every exploratory and. This has been strongly supported by the development of exploratory data analysis, testing assumptions about data, model and statistical methods and computer intensive techniques.

This book presents a combination of individual topics with solved problems and a collection of experimental tasks. Statistics is the discipline that concerns the collection, organization, displaying, analysis, interpretation and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied.

Populations can be diverse groups of people or objects such as "all people living in a. Start with √Doing Bayesian Data Analysis: A Tutorial with R and BUGS: John K. Kruschke: runrevlive.com: Books Lecture Notes Khan Academy, Statistics. Apr 04, · Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand.

This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. From Statistical Analysis with Excel For Dummies, 4th Edition.

By Joseph Schmuller. Excel offers a wide range of statistical functions you can use to calculate a single value or an array of values in your Excel worksheets. The Excel Analysis Toolpak is an add-in that provides even more statistical analysis tools. The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data science, and disciplines involving analyzing data.

The book begins with an introduction beyond the basics of SAS, illustrated with non-trivial, real-world, worked examples. This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis.

In the experimental. Statistical Analysis: A Computer Oriented Approach discusses the probabilistic foundations of statistics, the standard statistical inference procedures, regression, and correlation analysis.

The book also explains the analysis of variance and multivariate analysis, with an emphasis on the applications and interpretations of statistical tools.

A handbook of statistical analyses using SPSS / Sabine, Landau, Brian S. Everitt. user-friendly software package for the manipulation and statistical analysis of data. The package is particularly useful for students and researchers in psychology, sociology, psychiatry, and other behavioral sciences, contain- book is published, there.

Oct 25, · The Elements of Statistical Learning written by Trevor Hastie, Robert Tibshirani and Jerome Friedman. you can legally download a copy of the book in pdf format from the authors website.

Direct download (First discovered on the “one R tip a day” blog) Statistics (Probability and Data Analysis) – a wikibook. Download link. Statistical Analysis of Hydrologic Variables: Methods and Applications provides a compilation of state-of-the-art statistical methods for analyzing and describing critical variables that are part of the hydrological cycle.

Understanding and describing the variability of hydro-climatological processes and measurements is essential for assessing. Nov 06, · R Cookbook - With more than practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master.

Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Version, offers a broad overview of statistical strategies for superior undergraduate and graduate college students from quite a lot of disciplines who’ve little or no prior course work in statistics.

What statistical analysis should I use. Statistical analyses using SPSS We have an example data set called rb4wide, which is used in Kirk’s book Experimental Design. In this data set, y is the dependent variable, a is the repeated measure and s is the variable that indicates the subject number.

Introduction to Statistics & Data Analysis. FIFTH EDITION. Roxy Peck. California Polytechnic State University, San Luis Obispo, CA.

Chris Olsen. Grinnell College. Grinnell, IA. many formulas and other tools to complete statistical analyses. You can start Excel by finding it in your program list or clicking on the Excel icon on your.Dec 08, · Statistical analysis is the science of collecting data and uncovering patterns and trends.

It’s really just another way of saying “statistics.” After collecting data you can analyze it to: Summarize the data. For example, make a pie chart. Find key measures of location.struct an appropriate analysis for a given problem rather than determining if the problem is suﬃciently round to ﬁt in the round hole or suﬃciently square to ﬁt in the square hole.

This course is intended to help you develop methodological maturity. It is organized along the lines of what I call approachesto statistical analysis. These.