Fee Download Statistical Analysis with Missing Data, by Roderick J. A. Little, Donald B. Rubin
Nonetheless, checking out guide Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin in this website will lead you not to bring the printed book almost everywhere you go. Just store guide in MMC or computer disk and they are available to review any time. The flourishing system by reading this soft documents of the Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin can be introduced something brand-new routine. So currently, this is time to confirm if reading could boost your life or otherwise. Make Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin it surely function and get all benefits.
Statistical Analysis with Missing Data, by Roderick J. A. Little, Donald B. Rubin
Fee Download Statistical Analysis with Missing Data, by Roderick J. A. Little, Donald B. Rubin
Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin How a straightforward idea by reading can enhance you to be an effective individual? Reviewing Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin is a very basic task. But, exactly how can many individuals be so careless to read? They will certainly like to spend their downtime to chatting or hanging out. When in fact, reviewing Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin will certainly offer you much more opportunities to be effective finished with the efforts.
As we specified in the past, the technology helps us to consistently recognize that life will certainly be consistently much easier. Checking out book Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin practice is also one of the perks to get today. Why? Innovation could be utilized to give the publication Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin in only soft data system that can be opened every single time you want as well as almost everywhere you require without bringing this Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin prints in your hand.
Those are some of the perks to take when getting this Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin by on-line. However, how is the way to obtain the soft documents? It's very best for you to see this page because you can get the web link web page to download and install the publication Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin Simply click the web link provided in this write-up as well as goes downloading. It will certainly not take significantly time to get this publication Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin, like when you have to opt for publication establishment.
This is additionally among the reasons by getting the soft data of this Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin by online. You may not require more times to spend to visit the publication store as well as search for them. Occasionally, you additionally do not locate guide Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin that you are hunting for. It will squander the moment. But here, when you see this web page, it will be so very easy to obtain and also download and install guide Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin It will not take often times as we mention in the past. You can do it while doing something else in the house and even in your workplace. So easy! So, are you doubt? Simply practice what we provide here and check out Statistical Analysis With Missing Data, By Roderick J. A. Little, Donald B. Rubin exactly what you enjoy to check out!
Praise for the First Edition of Statistical Analysis with Missing Data
"An important contribution to the applied statistics literature.... I give the book high marks for unifying and making accessible much of the past and current work in this important area."
—William E. Strawderman, Rutgers University
"This book...provide[s] interesting real-life examples, stimulating end-of-chapter exercises, and up-to-date references. It should be on every applied statistician’s bookshelf."
—The Statistician
"The book should be studied in the statistical methods department in every statistical agency."
—Journal of Official Statistics
Statistical analysis of data sets with missing values is a pervasive problem for which standard methods are of limited value. The first edition of Statistical Analysis with Missing Data has been a standard reference on missing-data methods. Now, reflecting extensive developments in Bayesian methods for simulating posterior distributions, this Second Edition by two acknowledged experts on the subject offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing-data problems.
Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing-data mechanism and apply the theory to a wide range of important missing-data problems.
The new edition now enlarges its coverage to include:
- Expanded coverage of Bayesian methodology, both theoretical and computational, and of multiple imputation
- Analysis of data with missing values where inferences are based on likelihoods derived from formal statistical models for the data-generating and missing-data mechanisms
- Applications of the approach in a variety of contexts including regression, factor analysis, contingency table analysis, time series, and sample survey inference
- Extensive references, examples, and exercises
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Statistical Analysis With Missing Data was among those chosen.
- Sales Rank: #419181 in Books
- Published on: 2002-09-09
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.45" h x 1.00" w x 6.30" l, 1.53 pounds
- Binding: Hardcover
- 408 pages
Review
"I enjoyed reading this well written book. I recommend it highly to statisticians." (Journal of Statistical Computation & Simulation, July 2004)
“…a well written and well documented text for missing data analysis...” (Statistical Methods in Medical Research, Vol.14, No.1, 2005)
"An update to this authoritative book is indeed welcome." (Journal of the American Statistical Association, December 2004)
“…this is an excellent book. It is well written and inspiring…” (Statistics in Medicine, 2004; 23)
"...this second edition offers a thoroughly up-to-date, reorganized survey of of current methods for handling missing data problems..." (Zentralblatt Math, Vol.1011, No.11, 203)
"...well written and very readable...a comprehensive, update treatment of an important topic by two of the leading researchers in the field. In summary, I highly recommend this book..." (Technometrics, Vol. 45, No. 4, November 2003)
From the Publisher
Acknowledged experts on the subject bring together diverse sources on methods for statistical analysis of data sets with missing values, a pervasive problem for which standard methods are of limited value. Blending theory and application, it reviews historical approaches to the subject, and rigorous yet simple methods for multivariate analysis with missing values. Goes on to provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism. The theory is applied to a wide range of important missing-data problems. Extensive references, examples, and exercises.
From the Back Cover
Praise for the First Edition of Statistical Analysis with Missing Data
"An important contribution to the applied statistics literature.... I give the book high marks for unifying and making accessible much of the past and current work in this important area."
—William E. Strawderman, Rutgers University
"This book...provide[s] interesting real-life examples, stimulating end-of-chapter exercises, and up-to-date references. It should be on every applied statistician’s bookshelf."
—The Statistician
"The book should be studied in the statistical methods department in every statistical agency."
—Journal of Official Statistics
Statistical analysis of data sets with missing values is a pervasive problem for which standard methods are of limited value. The first edition of Statistical Analysis with Missing Data has been a standard reference on missing-data methods. Now, reflecting extensive developments in Bayesian methods for simulating posterior distributions, this Second Edition by two acknowledged experts on the subject offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing-data problems.
Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing-data mechanism and apply the theory to a wide range of important missing-data problems.
The new edition now enlarges its coverage to include:
- Expanded coverage of Bayesian methodology, both theoretical and computational, and of multiple imputation
- Analysis of data with missing values where inferences are based on likelihoods derived from formal statistical models for the data-generating and missing-data mechanisms
- Applications of the approach in a variety of contexts including regression, factor analysis, contingency table analysis, time series, and sample survey inference
- Extensive references, examples, and exercises
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Statistical Analysis With Missing Data was among those chosen.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Good reference but not exhaustive
By Ashley
A good text. It was required for a graduate level course on handling missing data. The professor has also opted to use a portion of an additional textbook with some more modern techniques not addressed in this book such as pattern mixture models. But this is a great intro to the topic. I will say, however, some of the problems are vague and poorly explained. Computationally they are not too difficult, but trying to figure out exactly what they are asking is sometimes tough.
54 of 55 people found the following review helpful.
Cautious and applicable
By wiredweird
I'm working with data sets where up to 15% of measurements are unusable. If I'm going to get any results at all, I have to get them despite the lost values.
This book provides a huge library of techniques for working around the holes, as well as techniques for filling them in. This is not a cut-and-paste text for programmers - it gives the basic theory and algorithms for each technique. Still, the presentation is quite readable and fairly easy to put into practice.
The book's emphasis is on imputation - filling in values so that analysis can move forward. This is something to approach with real caution, though. The imputed (synthesized) values must not perturb the analysis, so the imputation must differ according to the analysis being performed. The authors present a variety of imputation techniques, as well as bootstrap, jacknife, and other techniques for measuring the quality of the results.
The authors also dedicate chapters to approaches that work only with available data, and to cases where missing data can not simply be ignored.
This is the most thorough and practical guide I know to handling missing data. In an ideal world, experiments would all produce usable results and surveys would all have every question answered. When you have to deal with reality, though, this is the book.
0 of 0 people found the following review helpful.
Must have book for missing data analysis
By W. YIP
This is a classic and should be part of your library if you are a serious statistician.
Statistical Analysis with Missing Data, by Roderick J. A. Little, Donald B. Rubin PDF
Statistical Analysis with Missing Data, by Roderick J. A. Little, Donald B. Rubin EPub
Statistical Analysis with Missing Data, by Roderick J. A. Little, Donald B. Rubin Doc
Statistical Analysis with Missing Data, by Roderick J. A. Little, Donald B. Rubin iBooks
Statistical Analysis with Missing Data, by Roderick J. A. Little, Donald B. Rubin rtf
Statistical Analysis with Missing Data, by Roderick J. A. Little, Donald B. Rubin Mobipocket
Statistical Analysis with Missing Data, by Roderick J. A. Little, Donald B. Rubin Kindle
Tidak ada komentar:
Posting Komentar