Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis.
Table of contents
- 2. Starting with R and data
- Statistical Techniques for Data Analysis, Second Edition
- Statistical Techniques for Data Analysis - CRC Press Book
- Statistical Techniques for Data Analysis
It will be automatically added to your Manning Bookshelf within 24 hours of purchase. Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever-expanding field of data science.
2. Starting with R and data
Numerous updates in this brand new edition include: Nina Zumel and John Mount. Table of Contents takes you straight to the book detailed table of contents. Introduction to Data Science 1. The data science process 1.
Statistical Techniques for Data Analysis, Second Edition
The roles in a data science project 1. Stages of a data science project 1. Data collection and management. Model evaluation and critique. Model deployment and maintenance. Determining lower bounds on model performance.
- 2nd Edition;
- The Colorful Life of a Signal Corp Soldier in WWII.
- 24 Declassified: Operation Hell Gate!
- Called Unto Holiness : The Story of the Nazarenes the Second Twenty-five Years, 1933-58.
Starting with R and data 2. Starting with R 2. Working with data from files 2.
Statistical Techniques for Data Analysis - CRC Press Book
Working with well-structured data from files or URLs. Using R with less-structured data. Working with relational databases 2. Using summary statistics to spot problems 3.
- Madame Bovary: 150th Anniversary.
- Kategorien!
- GRANDES ESPERANZAS (Spanish Edition).
- Statistical Techniques for Data Analysis, Second Edition;
- Writing the Black Revolutionary Diva: Womens Subjectivity and the Decolonizing Text (Blacks in the D!
- Statistical Techniques for Data Analysis, Second Edition (E-Book, PDF).
Typical problems revealed by data summaries. Spotting problems using graphics and visualization 3. Visually checking distributions for a single variable. Valuable to everyone who produces, uses, or evaluates scientific data, Statistical Techniques for Data Analysis, Second Edition provides straightforward discussion of basic statistical techniques and computer analysis. The purpose, structure, and general principles of the book remain the same as the first edition, but the treatment now includes updates in every chapter, additional topics, and most importantly, an introduction to use of the MINITAB Statistical Software.
Highlights of the Second Edition: Read more Read less. Related Video Shorts 0 Upload your video. Share your thoughts with other customers. Write a customer review. There was a problem filtering reviews right now. Please try again later. I was helping a colleague who was using the formula for combining data sets from several sources chapter 6. If one looks at the definition of the weighting factors, it is clear that the results are off by a factor approximately equal to sqrt the total number of runs , or more correctly, a weighted function of the total numbert of runs.
This discussion is getting far too techical, but suffice it to say that a textbook of this sort, which is likely to be followed verbatum by an average user, should make sure that the formulas give the right results.
Statistical Techniques for Data Analysis
I have used this book in college for my lab courses. In these courses I had to perform statistical analysis of the data. There was one little problem. I did not have formal training in statistics.
Well, this book will tell you in a concise way what you need to know about statistical analysis of your data. The topic of uncertainty Chapter 5 is extremely helful and to the point. If you want to know how to analyze your data accurately and don't have much time, this is the book you need to read.
Amazon Giveaway allows you to run promotional giveaways in order to create buzz, reward your audience, and attract new followers and customers. Learn more about Amazon Giveaway. Statistical Techniques for Data Analysis. Set up a giveaway.