What is wrong?

Notice: Before sending an error with the download, please try the direct link first: Introductory Statistics with Randomization and Simulation

Loading...

You must sign in to do that.

Forgot password?

Introductory Statistics with Randomization and Simulation

Introductory Statistics with Randomization and Simulation

Introductory Statistics with Randomization and Simulation

Score: ---- | 0 votes
| Sending vote
| Voted!
|

Book Details:

pos
Global
pos
Category
Year:2014
Publisher:Autoedición
Pages:354 pages
Language:english
Since:31/05/2017
Size:10.66 MB
License:CC-BY

Content:

This book may be downloaded as a free PDF at openintro.org. We hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods.

  • Statistics is an applied field with a wide range of practical applications.
  • You don’t have to be a math guru to learn from interesting, real data.
  • Data are messy, and statistical tools are imperfect. However, when you understand the strengths and weaknesses of these tools, you can use them to learn interesting things about the world.

The chapters of this book are as follows:

  • Introduction to data. Data structures, variables, summaries, graphics, and basic data collection techniques.
  • Foundations for inference. Case studies are used to introduce the ideas of statistical inference with randomization and simulations. The content leads into the standard parametric framework, with techniques reinforced in the subsequent chapters. It is also possible to begin with this chapter and introduce tools from Chapter 1 as they are needed.
  • Inference for categorical data. Inference for proportions using the normal and chisquare distributions, as well as simulation and randomization techniques.
  • Inference for numerical data. Inference for one or two sample means using the t distribution, and also comparisons of many means using ANOVA. A special section for bootstrapping is provided at the end of the chapter.
  • Introduction to linear regression. An introduction to regression with two variables. Most of this chapter could be covered immediately after Chapter 1.
  • Multiple and logistic regression. An introduction to multiple regression and logistic regression for an accelerated course.

Categories:

Tags:

Loading comments...

Scanning lists...

The book in numbers

global rank

rank in categories

online since

31/05/2017

rate score

Nothing yet...

votes

Nothing yet...

Social likes

Nothing yet...

Views

Downloads

This may take several minutes

Interest

Countries segmentation

This may take several minutes

Source Referers

Websites segmentation

evolution

This may take several minutes

Loading...