(Ilmumisaeg: 03-Jul-2025, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031904936)
This book is an introduction to the theory of causal inference in observational studies. An observational study draws inferences about the effects cau...Loe edasi...
(Ilmumisaeg: 18-Apr-2025, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031690372)
This book examines statistical models for frequency data. The primary focus is on log-linear models for contingency tables but also includes extensive discussion of logistic regression. Topics such as logistic discrimination, generalized linear...Loe edasi...
(Ilmumisaeg: 28-Jan-2025, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031705830)
This 5th edition of this popular graduate textbook presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. It includes numerous examples using nontrivial data illustrate solutions to prob...Loe edasi...
(Ilmumisaeg: 22-Jan-2025, Hardback, Kirjastus: Springer-Verlag New York Inc., ISBN-13: 9781071641316)
This book, Statistical Modeling and Computation, provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of mathematical statistics and modern statistical c...Loe edasi...
(Ilmumisaeg: 17-Dec-2024, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031558542)
This book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concepts from that volume and providing a mathematically rigorous presentation of advanced topi...Loe edasi...
(Ilmumisaeg: 07-Dec-2024, Hardback, Kirjastus: Springer-Verlag New York Inc., ISBN-13: 9781071641712)
Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. Chapter 1 reviews elementary probability and prov...Loe edasi...
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to financ...Loe edasi...
(Ilmumisaeg: 07-Mar-2024, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031421433)
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consi...Loe edasi...
Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational persp...Loe edasi...
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
Sari: Springer Texts in Statistics
(Ilmumisaeg: 01-Jul-2023, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031387463)
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to financ...Loe edasi...
The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample...Loe edasi...
This book offers a comprehensive guide to large sample techniques in statistics. With a focus on developing analytical skills and understanding motivation, Large Sample Techniques for Statistics begins with fundamental techniques, and connects...Loe edasi...
This textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics. Each chapter is complemented by numerous exercises, many of them with detailed solutions, and computer labs in R that convey valuable pr...Loe edasi...
Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a comprehensive introduction to Bayesian estimation and forecasting for state space models. The celebrated Kalman filter, with its numerous extensions, takes centre s...Loe edasi...
(Ilmumisaeg: 01-Nov-2022, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031098383)
Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective,...Loe edasi...
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Sari: Springer Texts in Statistics
(Ilmumisaeg: 30-Jul-2022, Paperback / softback, Kirjastus: Springer-Verlag New York Inc., ISBN-13: 9781071614204)
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to mark...Loe edasi...
The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample...Loe edasi...
This 3rd edition of Modern Mathematical Statistics with Applications tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear and current exposition of statistical concepts and...Loe edasi...
This book offers a comprehensive guide to large sample techniques in statistics. With a focus on developing analytical skills and understanding motivation, Large Sample Techniques for Statistics begins with fundamental techniques, and...Loe edasi...
Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in publicly available data that simultaneously informs and inspires new avenues of investig...Loe edasi...
