Robust Small Area Estimation (Hardcover)
Jiming Jiang
Sold by CitiRetail, Stevenage, United Kingdom
AbeBooks Seller since 29 June 2022
New - Hardcover
Condition: New
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Add to basketSold by CitiRetail, Stevenage, United Kingdom
AbeBooks Seller since 29 June 2022
Condition: New
Quantity: 1 available
Add to basketHardcover. In recent years there has been substantial and growing interest in small area estimation (SAE) that is largely driven by practical demands. Here, the term "small area" typically refers to a subpopulation or domain of interest for which a reliable direct estimate, based only on the domain-specific sample, cannot be produced due to small sample size in the domain.Keywords in SAE are borrowing strength. Because there are insufficient samples from the small areas to produce reliable direct estimates, statistical methods are sought to utilize other sources of information to do better than the direct estimates. A typical way of borrowing strength is via statistical modelling. On the other hand, there is no free lunch. Yes, one can do better by borrowing strength, but there is a cost. This is the main topic discussed in this text.FeaturesA comprehensive account of methods, applications, as well as some open problems related to robust SAEMethods illustrated by worked examples and case studies using real dataDiscusses some advanced topics including benchmarking, Bayesian approaches, machine learning methods, missing data, and classified mixed model predictionSupplemented with code and data via a websiteRobust Small Area Estimation: Methods, Applications, and Open Problems is primarily aimed at researchers and graduate students of statistics and data science and would also be suitable for geography and survey methodology researchers. The practical approach should help persuade practitioners, such as those in government agencies, to more readily adopt robust SAE methods. It could be used to teach a graduate-level course to students with a background in mathematical statistics. Intended to provide a nearly comprehensive account of methods, theory, applications, as well as open problems related to robust SAE, that the monograph will help persuade practitioners, such as those in government agencies, to more readily adopt robust SAE methods. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller Inventory # 9781032488851
In recent years there has been substantial and growing interest in small area estimation (SAE) that is largely driven by practical demands. Here, the term "small area" typically refers to a subpopulation or domain of interest for which a reliable direct estimate, based only on the domain-specific sample, cannot be produced due to small sample size in the domain.
Keywords in SAE are “borrowing strength”. Because there are insufficient samples from the small areas to produce reliable direct estimates, statistical methods are sought to utilize other sources of information to do better than the direct estimates. A typical way of borrowing strength is via statistical modelling. On the other hand, there is no “free lunch”. Yes, one can do better by borrowing strength, but there is a cost. This is the main topic discussed in this text.
Features
Robust Small Area Estimation: Methods, Applications, and Open Problems is primarily aimed at researchers and graduate students of statistics and data science and would also be suitable for geography and survey methodology researchers. The practical approach should help persuade practitioners, such as those in government agencies, to more readily adopt robust SAE methods. It could be used to teach a graduate-level course to students with a background in mathematical statistics.
Jiming Jiang is a Professor of Statistics and Chair of the Department of Statistics at the University of California, Davis. His research interests include mixed effects models, small area estimation, model selection, statistical genetics/bioinformatics, and asymptotic theory. He is author of over 100 peer-reviewed publications and six books/monographs, including Linear and Generalized Linear Mixed Models and Their Applications (Springer 2007, 2nd ed. 2021), Large Sample Techniques for Statistics (Springer 2010, 2nd ed. 2022), The Fence Methods (World Scientific 2015; joint with Nguyen), Asymptotic Analysis of Mixed Effects Models: Theory, Application, and Open Problems (Chapman & Hall/CRC, 2017), Robust Mixed Model Analysis (World Scientific 2019), and Robust Small Area Estimation: Methods, Theory, Applications and Open Problems (Chapman & Hall/CRC, 2025; joint with Rao). He has served editorial boards of several major statistical journals including the Annals of Statistics and Journal of the American Statistical Association. He is a Fellow of the American Association for the Advancement of Science, a Fellow of the American Statistical Association (ASA), a Fellow of the Institute of Mathematical Statistics, and an Elected Member of the International Statistical Institute. He is a co-recipient of Outstanding Statistical Application Award (ASA, 1998), a (first) co-recipient of Distinguished Alumni Award (National Institute of Statistical Sciences, 2015), a Yangtze River Scholar (Chaired Professor, 2017-2020), a Primary Speaker of the Morris Hansen Lecture (Washington Statistical Society, 2023), and a recipient of the Award for Outstanding Contribution to Small Area Estimation (the SAE Award, 2024).
J. Sunil Rao is Professor in the Division of Biostatistics and Health Data Science at the University of Minnesota, Twin Cities. He is also the Director of Biostatistics at the Masonic Cancer Center and Founding Chair and Professor Emeritus in the Division of Biostatistics at the University of Miami. His research interests include mixed modelling, small area estimation, high dimensional data analysis, modelling of cancer genomic data and statistical methods for health disparity research. He is author of over 100 peer-reviewed publications and two books/monographs, including Statistical Methods in Health Disparity Research (Chapman & Hall/CRC, 2023) and Robust Small Area Estimation: Methods, Theory, Applications and Open Problems (Chapman & Hall/CRC, 2025; joint with Jiang). He is Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics and an Elected Member of the International Statistical Institute. He has served as an Associate Editor for a number of different statistical journals. He received the V.K. Gupta Endowment Award for Achievements in Statistical Thinking and Practice (2024) and was appointed as an Honorary Member of the Society for Statistics, Computers and Applications (2024).
"About this title" may belong to another edition of this title.
Orders can be returned within 30 days of receipt.
If you are a consumer you can cancel the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
INFORMATION REGARDING THE RIGHT OF CANCELLATION
Statutory Right to cancel
You have the right to cancel this contract within 14 days without giving any reason.
The cancellation period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the the last good or the last lot or piece.
To exercise the right to cancel, you must inform us, CitiRetail, ABC Books c/o International Logistics, Unit 2D Gatwick Gate Industrial Estate, RH11 0TG, Lowfield Heath, United Kingdom, 44 020 3290 3457, of your decision to cancel this contract by a clear statement (e.g. a letter sent by post, fax or e-mail). You may use the attached model cancellation form, but it is not obligatory. You can also electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". If you use this option, we will communicate to you an acknowledgement of receipt of such a cancellation on a durable medium (e.g. by e-mail) without delay.
To meet the cancellation deadline, it is sufficient for you to send your communication concerning your exercise of the right to cancel before the cancellation period has expired.
Effects of cancellation
If you cancel this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to cancel with contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to us or CitiRetail, ABC Books c/o International Logistics, Unit 2D Gatwick Gate Industrial Estate, RH11 0TG, Lowfield Heath, United Kingdom, 44 020 3290 3457, without undue delay and in any event not later than 14 days from the day on which you communicate your cancellation from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of cancellation
The right of cancellation does not apply to:
Model withdrawal form
(complete and return this form only if you wish to withdraw from the contract)
To: (CitiRetail, ABC Books c/o International Logistics, Unit 2D Gatwick Gate Industrial Estate, RH11 0TG, Lowfield Heath, United Kingdom, 44 020 3290 3457)
I/We (*) hereby give notice that I/We (*) withdraw from my/our (*) contract of sale of the following goods (*)/for the provision of the following goods (*)/for the provision of the following service (*),
Ordered on (*)/received on (*)
Name of consumer(s)
Address of consumer(s)
Signature of consumer(s) (only if this form is notified on paper)
Date
* Delete as appropriate.
Please note that titles are dispatched from our US, Canadian or Australian warehouses. Delivery times specified in shipping terms. Orders ship within 2 business days. Delivery to your door then takes 7-14 days.
| Order quantity | 7 to 60 business days | 7 to 14 business days |
|---|---|---|
| First item | £ 37.00 | £ 37.00 |
Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.