Developments in Statistical Modelling
Language: English
Published by Palgrave Macmillan, 2024
- Hardcover
- New
Condition: New
£ 264.30
Quantity: 2 available
Add to basketItem description from seller
This volume on the latest developments in statistical modelling is a collection of refereed papers presented at the 38th International Workshop on Statistical Modelling, IWSM 2024, held from 14 to 19 July 2024 in Durham, UK. The contributions cover a wide range of topics in statistical modelling, including generalized linear models, mixture models, regularization techniques, hidden Markov models, smoothing methods, censoring and imputation techniques, Gaussian processes, spatial statistics, shape modelling, goodness-of-fit problems, and network analysis. Various highly topical applications are presented as well, especially from biostatistics. The approaches are equally frequentist and Bayesian, a categorization the statistical modelling community has synergetically overcome. The book also features the workshop's keynote contribution on statistical modelling for big and little data, highlighting that both small and large data sets come with their own challenges.The International Workshop on Statistical Modelling (IWSM) is the annual workshop of the Statistical Modelling Society, with the purpose of promoting important developments, extensions, and applications in statistical modelling, and bringing together statisticians working on related problems from various disciplines. This volume reflects this spirit and contributes to initiating and sustaining discussions about problems in statistical modelling and triggers new developments and ideas in the field. Sprache: Englisch Gewicht in Gramm: 542.…
Seller Inventory # IB-4394279
- Title
- Developments in Statistical Modelling
- Publisher
- Palgrave Macmillan
- Publication year
- 2024
- Condition
- Neu
- Binding
- Gebundene Ausgabe
- Language
- English
- ISBN 10
- 3031657225
- ISBN 13
- 9783031657221
- Item weight
- 542 grams
This volume on the latest developments in statistical modelling is a collection of refereed papers presented at the 38th International Workshop on Statistical Modelling, IWSM 2024, held from 14 to 19 July 2024 in Durham, UK. The contributions cover a wide range of topics in statistical modelling, including generalized linear models, mixture models, regularization techniques, hidden Markov models, smoothing methods, censoring and imputation techniques, Gaussian processes, spatial statistics, shape modelling, goodness-of-fit problems, and network analysis. Various highly topical applications are presented as well, especially from biostatistics. The approaches are equally frequentist and Bayesian, a categorization the statistical modelling community has synergetically overcome. The book also features the workshop’s keynote contribution on statistical modelling for big and little data, highlighting that both small and large data sets come with their own challenges.
The International Workshop on Statistical Modelling (IWSM) is the annual workshop of the Statistical Modelling Society, with the purpose of promoting important developments, extensions, and applications in statistical modelling, and bringing together statisticians working on related problems from various disciplines. This volume reflects this spirit and contributes to initiating and sustaining discussions about problems in statistical modelling and triggers new developments and ideas in the field.
"Synopsis" may belong to another edition of this title.
About the Author
Jochen Einbeck is Professor of Statistics at Durham University, UK, Co-Director of the Durham Research Methods Centre, and Chair of IWSM 2024. He has been a regular attendee of the IWSM conferences since co-hosting the workshop in 2006 in Galway. He is Associate Editor of Statistical Modelling and Advances in Statistical Analysis, having previously served as Associate Editor of CSDA and Statistics. His research interests include mixture models, nonparametric regression, principal curves and random effect modelling.
Hyeyoung Maeng is an Assistant Professor of Statistics at Durham University, UK. Her research interests include change-point and feature detection, high-dimensional statistics, data-adaptive and multiscale methods and factor analysis. She is also interested in applying statistical methods in economics, finance and environment.
Emmanuel Ogundimu is an Associate Professor of Statistics at Durham University, UK and Co-Director of the Durham Biostatistics Unit. He leads a team of researchers on statistical aspects of clinical trials. His scholarly work centers on applying and developing statistical methodology and learning algorithms.
Konstantinos Perrakis is an Assistant Professor of Statistics at Durham University, UK. His research focuses on aspects of Bayesian and computational statistics and on statistical models for high-dimensional problems. He has applied his research to the fields of biomedicine, epidemiology and transportation.
"About the title" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 10 to 12 business days | 8 to 10 business days |
|---|---|---|
| First item | £ 41.62 | £ 62.56 |
Payment methods
- Check
Specialty
BuchRight of withdrawal
If you are a consumer you can withdraw from 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 withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal 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 last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from 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 withdraw from this 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 Home-set, Mannheim, Germany, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal 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 withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.