یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Introduction to asymptotic convergence -- The functional approach -- More results on differentiability -- Multiple roots -- Differentiability and bias reduction -- Minimum distance estimation and mixture estimation -- L-estimates and trimmed likelihood estimates -- Trimmed likelihood for multivariate data -- Further directions and conclusion.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for solving an array of common problems, such as estimating location, scale, and regression parameters. Written by an internationally recognized expert in the field of robust statistics, this book addresses a range of well-established techniques while exploring, in depth, new and exciting methodologies. Local robustness and global robustness are discussed, and problems of non-identifiability and adaptive estimation are considered. Rather than attempt an exhaustive investigation of robustness, the author provides readers with a timely review of many of the most important problems in statistical inference involving robust estimation, along with a brief look at confidence intervals for location. Throughout, the author meticulously links research in maximum likelihood estimation with the more general M-estimation methodology. Specific applications and R and some MATLAB subroutines with accompanying data sets-available both in the text and online-are employed wherever appropriate. Providing invaluable insights and guidance, Robustness Theory and Application: -Offers a balanced presentation of theory and applications within each topic-specific discussion -Features solved examples throughout which help clarify complex and/or difficult concepts -Meticulously links research in maximum likelihood type estimation with the more general M-estimation methodology -Delves into new methodologies which have been developed over the past decade without stinting on coverage of "tried-and-true" methodologies -Includes R and some MATLAB subroutines with accompanying data sets, which help illustrate the power of the methods described Robustness Theory and Application is an important resource for all statisticians interested in the topic of robust statistics. This book encompasses both past and present research, making it a valuable supplemental text for graduate-level courses in robustness.
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
Wiley
شماره انبار
9781118669372
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Robustness theory and application.
شماره استاندارد بين المللي کتاب و موسيقي
9781118669303
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Robust statistics.
موضوع مستند نشده
MATHEMATICS-- Applied.
موضوع مستند نشده
MATHEMATICS-- Probability & Statistics-- General.
موضوع مستند نشده
Robust statistics.
مقوله موضوعی
موضوع مستند نشده
MAT-- 003000
موضوع مستند نشده
MAT-- 029000
رده بندی ديویی
شماره
519
.
5
ويراست
23
رده بندی کنگره
شماره رده
QA276
.
A2
نشانه اثر
C53
2018
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )