Data Analysis
Home > Mathematics and Science Textbooks > Mathematics > Probability and statistics > Data Analysis: What Can Be Learned From the Past 50 Years(874 Wiley Series in Probability and Statistics)
Data Analysis: What Can Be Learned From the Past 50 Years(874 Wiley Series in Probability and Statistics)

Data Analysis: What Can Be Learned From the Past 50 Years(874 Wiley Series in Probability and Statistics)


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

Table of Contents:
Preface. 1 What is Data Analysis? 1.1 Tukey's 1962 paper. 1.2 The Path of Statistics. 2 Strategy Issues in Data Analysis. 2.1 Strategy in Data Analysis. 2.2 Philosophical issues. 2.3 Issues of size. 2.4 Strategic planning. 2.5 The stages of data analysis. 2.6 Tools required for strategy reasons. 3 Massive Data Sets. 3.1 Introduction. 3.2 Disclosure: Personal experiences. 3.3 What is i massive? A classification of size. 3.4 Obstacles to scaling. 3.5 On the structure of large data sets. 3.6 Data base management and related issues. 3.7 The stages of a data analysis. 3.8 Examples and some thoughts on strategy. 3.9 Volume reduction. 3.10 Supercomputers and software challenges. 3.11 Summary of conclusions. 4 Languages for Data Analysis. 4.1 Goals and purposes. 4.2 Natural languages and computing languages. 4.3 Interface issues. 4.4 Miscellaneous issues. 4.5 Requirements for a general purpose immediate language. 5 Approximate Models. 5.1 Models. 5.2 Bayesian modeling. 5.3 Mathematical statistics and approximate models. 5.4 Statistical significance and physical relevance. 5.5 Judicious use of a wrong model. 5.6 Composite models. 5.7 Modeling the length of day. 5.8 The role of simulation. 5.9 Summary of conclusions. 6 Pitfalls. 6.1 Simpson's paradox. 6.2 Missing data. 6.3 Regression of Y on X or of X on Y. 7 Create order in data. 7.1 General considerations. 7.2 Principal component methods. 7.3 Multidimensional scaling. 7.4 Correspondence analysis. 7.5 Multidimensional scaling vs. Correspondence analysis. 8 More case studies. 8.1 A nutshell example. 8.2 Shape invariant modeling. 8.3 Comparison of point configurations. 8.4 Notes on numerical optimization. References. Index.

About the Author :
Peter J. Huber, PhD, is a world-renowned statistician who has published four books and more than seventy journal articles in the areas of statistics and data analysis. He has held academic positions at Harvard University, Massachusetts Institute of Technology, Cornell University, and ETH Zurich (Switzerland), and has made significant research contributions in the areas of robust statistics, computational statistics, and strategies in data analysis. A Fellow of the Institute of Mathematical Statistics and the American Academy of Arts and Sciences, Dr. Huber is the coauthor of Robust Statistics, Second Edition, also published by Wiley.


Best Sellers


Product Details
  • ISBN-13: 9781118018262
  • Publisher: John Wiley & Sons Inc
  • Publisher Imprint: John Wiley & Sons Inc
  • Language: English
  • Series Title: 874 Wiley Series in Probability and Statistics
  • ISBN-10: 1118018265
  • Publisher Date: 09 Jan 2012
  • Binding: Digital (delivered electronically)
  • No of Pages: 234
  • Sub Title: What Can Be Learned From the Past 50 Years


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Data Analysis: What Can Be Learned From the Past 50 Years(874 Wiley Series in Probability and Statistics)
John Wiley & Sons Inc -
Data Analysis: What Can Be Learned From the Past 50 Years(874 Wiley Series in Probability and Statistics)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Data Analysis: What Can Be Learned From the Past 50 Years(874 Wiley Series in Probability and Statistics)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!