data

1. Social Science Data on the Internet - Search for Social Sciences Data on the Net ... Data Archives 54 Data Libraries and Data Archives worldwide. odwin.ucsd.edu Mama
2. Microsoft Access Data Analysis- Unleashing the Analytical Power of Access

   Microsoft Access Data Analysis

   Unleashing the Analytical Power of Access:
   • Book by Michael Alexander.
3. The Apollo Program - NASA's portal to data on the Apollo lunar missions. Mission summaries, data, and links to related NASA material. nssdc.gsfc.nasa.gov Mama
4. British and Irish Legal Information Institute - With the exception of Scottish statutes, and statutory instruments for most jurisdictions (which are promised shortly) BAILII includes all freely available UK and Irish data which is available on the Web as well as much data which is not otherwise available. www.bailii.org Mama
5. Archaeology Data Service: homepage - The ADS promotes good practice in the use of digital data in ... It does this by preserving digital data in the long term, and by ... ads.ahds.ac.uk Mama
6. Economic Statistics - The purpose of this service is to provide easy access to current Federal economic indicators. It provides links to information produced by a number www.whitehouse.gov Mama
7. Data Backup Is The Best Data Protection - Every small business has sensitive data that needs to be protected and data backup is the best data protection. Here's how to establish a backup system that will protect your critical business data from disaster. sbinfocanada.about.com Mama
8. Data Integration, The Key To Profits - Data Integration, The Key To Profits. Every data silo you allow to exist costs you money, decreases your flexibility, and reduces your profit. Here's how to get rid of data silos, achieve data integration, and increase your profit. management.about.com Mama
9. Geostat Center: Collections: County and City Data Books - County Data. State Data. State Data. State Data. State Data. City Data ... City Data. City Data. City Data. . Place Data. Place Data. Place Data ... fisher.lib.virginia.edu Mama
10. Data Sources -- Choosing a Program to Create Your Mail Merge Data Source - You have numerous options when you create a data source for use in mail merge. It really can be overwhelming at times. If you need help deciding which program to use to create the data file, here’s some advice that will help you make a wise decision. wordprocessing.about.com Mama
11. Bayesian Data Analysis, Second Edition

    Bayesian Data Analysis, Second Edition

    • Book by Andrew Gelman, John B. Carlin, Hal S. Stern and Donald B. Rubin.
12. Washington Post: School Guide - Detailed profiles of almost 1300 public schools in the Washington, DC, metro area, based on data compiled by the Washington Post. Features data on students, teachers, curriculum and standardized test scores. Allows interactive searching based on nine quality measures. Includes related articles and www.washingtonpost.com Mama
13. Inter-University Consortium for Political and Social Research - Provides access to an extensive collection of downloadable data. While some data is only available to individuals from member institutions, an extensive collection of criminal justice data, election data, and data from the General Social Surveys is available to the public from this site. www.icpsr.umich.edu Mama
14. Global Financial Data - The GFD Database includes over 8500 current and historical data series ... Global Financial Data is an unparalleled source for historical stock ... www.globalfindata.com Mama
15. Data Warehousing Knowledge Base - A data warehousing community for IT professionals. Focusing on business intelligence, knowledge management, data mining and other ... datawarehouse.ittoolbox.com Mama
16. Data Mining and Data Warehousing - The Net’s best collection of data mining and data warehousing links from your About.com guide. From data mining tutorials to data warehousing techniques, you’ll find it all! databases.about.com Mama
17. Using Data and Statistics - Basic help using data and statistics. Brought to you by Math League Multimedia. www.mathleague.com Mama
18. NASA ADS: ADS Home Page - The main body of data in the ADS consists of bibliographic records, ... This research has made use of NASA's Astrophysics Data System." Thanks ... adswww.harvard.edu Mama
19. The Material Safety Data Sheet Fun Page - Poke some fun at the content of Material Safety Data Sheets (MSDS) www.ilpi.com Mama
20. Statistics- The Art and Science of Learning From Data

    Statistics

    The Art and Science of Learning From Data:
    • Book by Alan Agresti and Christine A. Franklin.
21. Bureau of Justice Statistics Home page - Statistics about - Crime and victims, Drugs and crime, Criminal offenders, The justice system in the United States, Law enforcement, Prosecution, www.ojp.usdoj.gov Mama
22. eds.com - ... Electronic Data Systems Corporation. All rights reserved.. *About eds.com ... www.eds.com Mama
23. NCES Education Data Search Tools - These data tools provide access to information from multiple NCES data sources on education statistics. site index | ED.gov Pubs Last 90 Days | Data Products ... nces.ed.gov Mama
24. Qwest calls for mandatory data retention laws | CNET News.com - ... calls for mandatory data retention laws | CNET News.com ... news.com.com Mama
25. Stats about all US cities - maps, race, income, photos, education, crime,... - As featured on Tech Guru's segment on WABC in New York, Bay News 9 in Tampa Bay, and USA Today's Hot Sites We've collected and analyzed data from numerous ... www.city-data.com Mama
26. Monitor Data Acquisition Newsletter - Free monthly newsletter covers PC-based data acquisition and control. It brings news of the latest scientific software and in-depth discussion of test and measurement techniques. It also offers subscribers free software which lets them connect RS232 instruments to Windows programs like Excel. www.windmill.co.uk Mama
27. The Data Administration Newsletter (TDAN) - The Newsletter About How to Manage Data as a Valued Asset. Data Modeling, process modeling, object modeling, data warehouse administration. www.tdan.com Mama
28. Data Acquisition Digital I/O - USB and PCI Boards - Image Analysis, Machine ... - Data Translation is a world leader in Data Acquisition and Image ... Cheap Frame Grabbers | Data Acq Hardware Manufacturing | PCI Frame ... www.datx.com Mama
29. Business Process Change- A Manager's Guide to Improving, Redesigning, and Automating Processes (The Morgan Kaufmann Series in Data Management Systems)

    Business Process Change

    A Manager's Guide to Improving, Redesigning, and Automating Processes (The Morgan Kaufmann Series in Data Management Systems):

• Book by Paul Harmon.

Microsoft Access Data Analysis- Unleashing the Analytical Power of Access

Microsoft Access Data Analysis

Unleashing the Analytical Power of Access:

• Review:: 'Finally, an interesting AND helpful Microsoft Access book!! First, let me start off by saying that this book is NOT for beginners. You need to have a good understanding of the different types of queries and functions before reading this. That being said, once you're past the basics, you will find this book to be SO helpful. It breaks every topic down, provides warnings about certain pitfalls, and shows step by step with screen prints how to go about more complicated functions. I love this book...enough to where I read it because I want to, not because I have to. If someone can write a technical book that makes an ordinary person like myself want to sit down and read it all, you know it's worth buying!
• Review:: 'A must have for finacial Analyst or Data Analyst This book is great. It took me about 3 days to finish reading, gain practical knowledge through this book, already help my production through my analysis. Must get for begginer in Access or Intermedian. If you do a lot of application design, just get into data analysis. This is a must have.
• Review:: 'Excellent Needing to go beyond Excel? Wanting to start using Access for all your data analysis needs? This is the book for you. Great primer for those Access developer books. Takes you from the beginning into some pretty cool advanced topics. Data discussed in examples is also available for download. A must have for anyone using MS Access for any data analysis project.
• Review:: 'Practical number crunching with Access Many times have I been tasked to automate analysis with an application and I have always recommended Excel for doing anything with numbers and analyzing them. Doing anything like this with Access is usually a mystery and it takes a long time to put together until now. I was very skeptical since I have many Access books that do not go into detail about how to use Access in an analytical setting. The other books that I have just concentrate on programming, application developing or just simple that just teach you the basics of Access. This book puts it all together for you and even does a little VBA sampling so you can learn to use the analysis with an application you might already have. I was extremely suprised at the way this book was composed with smart but simple step by step examples. The first few chapters saved me a ton of time after I learned many built-in functions for cleaning up data. The collection of functions in the appendix are a gold mine since these help you create expressions and also teach you by defining their meaning and use. After reading this book about a month ago I have been using Excel less and less to do my number crunching and reporting. I was a slave to the updating of cells, links,formulas and cleaning data that was given to me every week, month, and quarters. Now I just imported all my data to Access where I can analyze more data ,better and alot quicker than that other program.... I forget what that was, Oh yeah Excel. You HAVE to get this book in your Access library if you do any work with data analysis and number crunching for financials or statistics. For all of you in any IT field like me that get told to "whip up" a program to crunch some statistics or financials.... this book will be the one to save your butt, it did it for me.
• Review:: 'Great practical Access examples! I have never seen a computer book that has so much practical information so lucidly compressed into so few pages for the intermediate computer user - it's a real diamond. I would like to see the authorr write a book on Excel with the same level of complexity. My only suggestion is, that if you ever author another book and I hope you do, in the future ask your publisher to use larger font in the figures you use to illustrate the examples throughout the book. For example, on page 114, Figure 4-4, I literally had to use a magnifying glass to determine that the little speck of ink between [Actual] and [Adjusted Forecast] was a minus sign. That's the reason I can only give it 4 stars.

• Similar books:
• Integrating Excel and Access
• Pivot Table Data Crunching (Business Solutions)
• Excel Advanced Report Development
• Building Microsoft Access Applications
• Professional Excel Development- The Definitive Guide to Developing Applications Using Microsoft(R) Excel and VBA(R)

Bayesian Data Analysis, Second Edition

Bayesian Data Analysis, Second Edition

• Review:: 'Very Excellent, but non-statisticians should start elsewhere Gelman's book is an excellent and complete introduction to Bayesian methods. It covers a number of topics not touched by other intros I've read, and focuses much more on regression and ANOVA than other texts. There are two downsides, coming from someone in psychology. First, the book seems to hover between an introductory text and a more advanced one. The topics covered are mostly introductory, but the examples aren't always entirely easy to follow. A tighter integration with the R and Bugs code would help. Perhaps a section at the end of the chapters containing a code example for each topic would be ideal. It's not that the topics themselves are necessarily opaque, but Gelman moves too fast at times, making it hard to think in terms of notation, theory, experimental design AND code at the same time (for those of us constantly thinking about how this affects our own research). Second, as a general rule, this book is outside the ken of most psychologists. This is unfortunate since the methods are ideal for our discipline, and since many psychologists already perceive a large barrier of entry to statistics. As a psychologist with minimal undergraduate training in stats, I would (and did) start with a standard statistics book like Casella and Berger, and then move on to a gentler introduction to Bayesian methodology, like _Bayesian Methods: A Social and Behavioral Sciences Approach_ by Jeff Gill. Also, you can barely do anything in this book with SPSS so you'll have to learn R and Bugs.
• Review:: 'As Good As It Gets For An Intro To Bayes Yes, it is an introduction to Bayesian methods. That means you have to have a very good understanding of classical statistics (at the level of Casella and Berger would be optimal) and then be willing to use the [WinBugs]Create? program to further your knowledge. A great book.
• Review:: 'It is a good book, but not a bible of Bayesian analysis. [1] A good introductory book, but definitely not a bible of Bayesian analysis. [2] The example-based introduction may be a try of new generation of Bayesian. Many people, especially the beginners, may like this style. [3] Some of the authors are good at programming in BUGS, R, etc, so the part of MCMC methods seems worthy to skim through. [4] The book is suitable for the undergraduate and the first year graduate level.
• Review:: 'A good introductory book, but... I read the other reviews and agree with them to some extent. This is a good introduction to applied Bayesian analysis. Lots of good examples, illustrations and exercises. If you are the kind of person who learns by way of examples, then this might be the text book for you. If you are looking for the bigger picture, then you will be lost here. There is very little in the way of theory. Why is this the right method? What is gained theoretically over a frequentist method? What are the theoretical properties of the proposed approach? To a large extent these kinds of questions remain a mystery. In terms of flexibility an applied Bayesian approach has some decided advantages. However, in terms of theory it's almost as if the authors want you to believe that once you adopt the Bayesian approach then the benefits of averaging by way of using a prior will always be the right thing to do. You could argue that advanced questions like this are better suited for a more advanced text book. I tend to ask more out of a book.
• Review:: 'Likely the best survey book on applied Bayesian theory Note, this is a review of the first edition. Overview This book was the textbook used at the University of Wisconsin-Madison for the graduate course in Bayesian Decision and Control I during the fall of 2001 and 2002. It strikes a good balance between theory and practical example, making it ideal for a first course in Bayesian theory at an intermediate-advanced graduate level. Its emphasis is on Bayesian modeling and to some degree computation. Prerequisites While no Bayesian theory is assumed, it is assumed that the reader has a background in mathematical statistics, probability and continuous multi-variate distributions at a beginning or intermediate graduate level. The mathematics used in the book is basic probability and statistics, elementary calculus and linear algebra. Intended audience This book is primarily for graduate students, statisticians and applied researchers who wish to learn Bayesian methods as opposed to the more classical frequentist methods. Material covered It covers the fundamentals starting from first principles, single-parameter models, multi-parameter models, large sample inference, hierarchical models, model checking and sensitivity analysis (model checking and sensitivity analysis are especially well covered), study design, regression models, generalized linear models, mixture models and models for missing data. In addition it covers posterior simulation and integration using rejection sampling and importance sampling. There is one chapter on Markov chain Monte Carlo simulation (MCMC) covering the generalized Metropolis algorithm and the Gibbs sampler. Over 38 models are covered, 33 detailed examples from a wide range of fields (especially biostatistics). Each of the 18 chapter has a bibliographic note at the end. There are two appendixes: A) a very helpful list of standard probability distributions and B) outline of proofs of asymptotic theorems. Sixteen of the 18 chapters end with a set of exercises that range from easy to quite difficult. Most of the students in my fall 2001 class used the statistical language R to do the exercises. The book's emphasis is on applied Bayesian analysis. There are no heavy advanced proofs in the book. While the proofs of the basic algorithms are covered there are no algorithms written in pseudo code...Additional books of related interest 1) Statistical Decision Theory and Bayesian Analysis, James Berger, second edition. Emphasis on decision theory and more difficult to follow than Gelman's book. Covers empirical and hierarchical Bayes analysis. More philosophical challenging than Gelman's book. 2) Monte Carlo Statistical Methods, Robert and Casella. Very mathematically oriented book. Does a good job of covering MCMC. 3) Monte Carlo Methods in Bayesian Computation, Ming-Hui Chen, Qi-Man Shao, Joseph George Ibrahim. An enormous number of algorithms related to MCMC not covered elsewhere. If you need MCMC and need an algorithm to implement MCMC this is the book to read. 4) Monte Carlo Strategies in Scientific Computing, Jun S. Liu. Covers a wide range of scientific disciplines and how Monte Carlo methods can be used to solve real world problems. Includes hot topics such as bioinformatics. Very concise. Well written, but requires effort to understand as so many different topics are covered. This book is my most often borrowed book on Monte Carlo methods. Jun S. Liu is a big gun at Harvard. 5) Probabilistic Networks and Expert Systems. Cowell, Dawid, Lauritzen, Spiegelhalter. Covers the theory and methodology of building Bayesian networks (probabilistic networks).

• Similar books:
• Bayesian Statistics- An Introduction (A Hodder Arnold Publication)
• Markov Chain Monte Carlo in Practice (Interdisciplinary Statistics S.)
• Monte Carlo Statistical Methods (Springer Texts in Statistics)
• The Elements of Statistical Learning
• Modern Applied Statistics with S