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Author : Piet Groeneboom,Geurt Jongbloed
Publisher : Cambridge University Press
Page : 429 pages
File Size : 55,6 Mb
Release : 2014-12-11
Category : Business & Economics
ISBN : 9780521864015
This book introduces basic concepts of shape constrained inference and guides the reader to current developments in the subject.
Author : Alexandre B. Tsybakov
Publisher : Springer Science & Business Media
Page : 222 pages
File Size : 45,5 Mb
Release : 2008-10-22
Category : Mathematics
ISBN : 9780387790527
Developed from lecture notes and ready to be used for a course on the graduate level, this concise text aims to introduce the fundamental concepts of nonparametric estimation theory while maintaining the exposition suitable for a first approach in the field.
Author : Lanju Zhang,Ding-Geng (Din) Chen,Hongmei Jiang,Gang Li,Hui Quan
Publisher : Springer
Page : 339 pages
File Size : 52,9 Mb
Release : 2019-07-11
Category : Medical
ISBN : 9783030153106
This edited volume presents current research in biostatistics with emphasis on biopharmaceutical applications. Featuring contributions presented at the 2017 ICSA Applied Statistics Symposium held in Chicago, IL on June 25 to 28, 2017, this book explores timely topics that have a high potential impact on statistical methodology and future research in biostatistics and biopharmaceuticals. The theme of this conference was Statistics for a New Generation: Challenges and Opportunities, in recognition of the advent of a new generation of statisticians. The conference attracted statisticians working in academia, government, and industry; domestic and international statisticians. From the conference, the editors selected 28 high-quality presentations and invited the speakers to prepare full chapters for this book. These contributions are divided into four parts: Part I Biostatistical Methodology, Part II Statistical Genetics and Bioinformatics, Part III Regulatory Statistics, and Part IV Biopharmaceutical Research and Applications. Featuring contributions on topics such as statistics in genetics, bioinformatics, biostatistical methodology, and statistical computing, this book is beneficial to researchers, academics, practitioners and policy makers in biostatistics and biopharmaceuticals.
Author : Abdelaati Daouia,Anne Ruiz-Gazen
Publisher : Springer Nature
Page : 713 pages
File Size : 44,6 Mb
Release : 2021-06-14
Category : Mathematics
ISBN : 9783030732493
This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections. It addresses nonparametric statistics and econometrics, quantiles and expectiles, and advanced methods for complex data, including spatial and compositional data, as well as tools for empirical studies in economics and the social sciences. The book was written in honor of Christine Thomas-Agnan on the occasion of her 65th birthday. Given its scope, it will appeal to researchers and PhD students in statistics and econometrics alike who are interested in the latest developments in their field.
Author : Jianguo Sun,Ding-Geng Chen
Publisher : Springer Nature
Page : 322 pages
File Size : 52,9 Mb
Release : 2022-11-29
Category : Mathematics
ISBN : 9783031123665
This book primarily aims to discuss emerging topics in statistical methods and to booster research, education, and training to advance statistical modeling on interval-censored survival data. Commonly collected from public health and biomedical research, among other sources, interval-censored survival data can easily be mistaken for typical right-censored survival data, which can result in erroneous statistical inference due to the complexity of this type of data. The book invites a group of internationally leading researchers to systematically discuss and explore the historical development of the associated methods and their computational implementations, as well as emerging topics related to interval-censored data. It covers a variety of topics, including univariate interval-censored data, multivariate interval-censored data, clustered interval-censored data, competing risk interval-censored data, data with interval-censored covariates, interval-censored data from electric medical records, and misclassified interval-censored data. Researchers, students, and practitioners can directly make use of the state-of-the-art methods covered in the book to tackle their problems in research, education, training and consultation.
Author : Mary Catherine Meyer
Publisher : Unknown
Page : 230 pages
File Size : 49,6 Mb
Release : 1996
Category : Electronic
ISBN : UOM:39015038559491
Author : Peter Bühlmann,Petros Drineas,Michael Kane,Mark van der Laan
Publisher : CRC Press
Page : 480 pages
File Size : 52,6 Mb
Release : 2016-02-22
Category : Business & Economics
ISBN : 9781482249088
Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical
Author : Jing Qin
Publisher : Springer
Page : 624 pages
File Size : 54,6 Mb
Release : 2017-06-14
Category : Business & Economics
ISBN : 9789811048562
This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems. Biased sampling problems appear in many areas of research, including Medicine, Epidemiology and Public Health, the Social Sciences and Economics. The book addresses a range of important topics, including case and control studies, causal inference, missing data problems, meta-analysis, renewal process and length biased sampling problems, capture and recapture problems, case cohort studies, exponential tilting genetic mixture models etc. The goal of this book is to make it easier for Ph. D students and new researchers to get started in this research area. It will be of interest to all those who work in the health, biological, social and physical sciences, as well as those who are interested in survey methodology and other areas of statistical science, among others.
Author : Klaas van Breugel,Dessi Koleva,Ton van Beek
Publisher : Springer
Page : 248 pages
File Size : 42,8 Mb
Release : 2017-11-23
Category : Technology & Engineering
ISBN : 9783319701943
This work is an overview of the state of art on Ageing of Materials and structures in the world. Ageing of materials is a natural phenomenon. Each material we use will age. This ageing will influence the performance of the object where the materials is used. Furthermore, the ageing will be affected by the surroundings in which the object is placed. The main focus of the book is on materials used in infrastructure, energy, buildings and industry. The book in effect establishes the definition of ageing and its main research topics that are relevant for society.
Author : Jayakrishnan Nair,Adam Wierman,Bert Zwart
Publisher : Cambridge University Press
Page : 265 pages
File Size : 52,5 Mb
Release : 2022-06-09
Category : Business & Economics
ISBN : 9781316511732
An accessible yet rigorous package of probabilistic and statistical tools for anyone who must understand or model extreme events.
Author : Remco van der Hofstad
Publisher : Cambridge University Press
Page : 508 pages
File Size : 55,7 Mb
Release : 2024-02-08
Category : Mathematics
ISBN : 9781316805589
Complex networks are key to describing the connected nature of the society that we live in. This book, the second of two volumes, describes the local structure of random graph models for real-world networks and determines when these models have a giant component and when they are small-, and ultra-small, worlds. This is the first book to cover the theory and implications of local convergence, a crucial technique in the analysis of sparse random graphs. Suitable as a resource for researchers and PhD-level courses, it uses examples of real-world networks, such as the Internet and citation networks, as motivation for the models that are discussed, and includes exercises at the end of each chapter to develop intuition. The book closes with an extensive discussion of related models and problems that demonstratemodern approaches to network theory, such as community structure and directed models.
Author : Sébastien Roch
Publisher : Cambridge University Press
Page : 452 pages
File Size : 50,8 Mb
Release : 2024-01-18
Category : Mathematics
ISBN : 9781009305136
Providing a graduate-level introduction to discrete probability and its applications, this book develops a toolkit of essential techniques for analysing stochastic processes on graphs, other random discrete structures, and algorithms. Topics covered include the first and second moment methods, concentration inequalities, coupling and stochastic domination, martingales and potential theory, spectral methods, and branching processes. Each chapter expands on a fundamental technique, outlining common uses and showing them in action on simple examples and more substantial classical results. The focus is predominantly on non-asymptotic methods and results. All chapters provide a detailed background review section, plus exercises and signposts to the wider literature. Readers are assumed to have undergraduate-level linear algebra and basic real analysis, while prior exposure to graduate-level probability is recommended. This much-needed broad overview of discrete probability could serve as a textbook or as a reference for researchers in mathematics, statistics, data science, computer science and engineering.
Author : Michael P. Fay,Erica H. Brittain
Publisher : Cambridge University Press
Page : 449 pages
File Size : 51,7 Mb
Release : 2022-05-05
Category : Mathematics
ISBN : 9781108423564
This coherent guide equips applied statisticians to make good choices and proper interpretations in real investigations facing real data.
Author : Roman Vershynin
Publisher : Cambridge University Press
Page : 299 pages
File Size : 45,7 Mb
Release : 2018-09-27
Category : Business & Economics
ISBN : 9781108415194
An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
Author : Charles Bouveyron,Gilles Celeux,T. Brendan Murphy,Adrian E. Raftery
Publisher : Cambridge University Press
Page : 446 pages
File Size : 41,8 Mb
Release : 2019-07-25
Category : Business & Economics
ISBN : 9781108494205
Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.