Book
Yanagihara, H. (2021)
This is the first book on an evaluation of (weak) consistency of an information criterion for variable selection in high-dimensional multivariate linear regression models by using …
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Book
Kamatani, K. (2021)
This book presents modern techniques for the analysis of Markov chain Monte Carlo (MCMC) methods. A central focus is the study of the number of iteration of MCMC and the relation …
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Latpate, R., Kshirsagar, J., Kumar Gupta, V., Chandra, G. (2021)
This book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book …
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Book
Bura, E. (Ed), Li, B. (Ed) (2021)
In honor of professor and renowned statistician R. Dennis Cook, this festschrift explores his influential contributions to an array of statistical disciplines ranging from …
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Chen, (. D., Chen, J. K. (2021)
This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, …
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Deshmukh, S., Kulkarni, M. (2021)
The book presents the fundamental concepts from asymptotic statistical inference theory, elaborating on some basic large sample optimality properties of estimators and some test …
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Devore, J. L., Berk, K. N., Carlton, M. A. (2021)
This 3rd edition of Modern Mathematical Statistics with Applications tries to strike a balance between mathematical foundations and statistical practice. The book provides a …
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Book
Ghosh, I. (Ed), Balakrishnan, N. (Ed), Ng, H. K. T. (Ed) (2021)
This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, …
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Book
Chadjipadelis, T. (Ed), Lausen, B. (Ed), Markos, A. (Ed), Lee, T. R. (Ed), Montanari, A. (Ed), Nugent, R. (Ed) (2021)
This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to …
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Morales, D., Esteban, M. D., Pérez, A., Hobza, T. (2021)
This advanced textbook explores small area estimation techniques, covers the underlying mathematical and statistical theory and offers hands-on support with their implementation. …
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Brinda, W. D. (2021)
This book provides a visual and intuitive coverage of the core theory of linear models. Designed to develop fluency with the underlying mathematics and to build a deep …
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Quirk, T. J., Rhiney, E. (2021)
This book shows the capabilities of Microsoft Excel in teaching marketing statistics effectively. It is a step-by-step, exercise-driven guide for students and practitioners who …
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Book
Cuzzolin, F. (2021)
The principal aim of this book is to introduce to the widest possible audience an original view of belief calculus and uncertainty theory. In this geometric approach to …
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Book
Eshima, N. (2020)
This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis. Further, it interprets basic statistical …
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Softcover
Book
Hoshino, N. (Ed), Mano, S. (Ed), Shimura, T. (Ed) (2020)
This book highlights the forefront of research on statistical distribution theory, with a focus on unconventional random quantities, and on phenomena such as random partitioning. …
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Book
Golyandina, N., Zhigljavsky, A. (2020)
This book gives an overview of singular spectrum analysis (SSA). SSA is a technique of time series analysis and forecasting combining elements of classical time series analysis, …
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Book
Kieser, M. (2020)
This book provides an extensive overview of the principles and methods of sample size calculation and recalculation in clinical trials. Appropriate calculation of the required …
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Madhyastha, N. R. M., Ravi, S., Praveena, A. S. (2020)
This textbook presents the basic concepts of linear models, design and analysis of experiments. With the rigorous treatment of topics and provision of detailed proofs, this book …
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Book
La Rocca, M. (Ed), Liseo, B. (Ed), Salmaso, L. (Ed) (2020)
Highlighting the latest advances in nonparametric and semiparametric statistics, this book gathers selected peer-reviewed contributions presented at the 4th Conference of the …
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Zimmerman, D. L. (2020)
This textbook presents a unified and rigorous approach to best linear unbiased estimation and prediction of parameters and random quantities in linear models, as well as other …
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