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Topics on Methodological and Applied Statistical Inference
This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena. Major topics covered in this volume include, but are not limited to, bayesian inference, likelihood approach, pseudo-likelihoods, regression, time series, and data analysis as well as applications in the…
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- ISBN/ISSN
- 978-3-319-44093-4
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Topics in Theoretical and Applied Statistics
This book highlights the latest research findings from the 46th International Meeting of the Italian Statistical Society (SIS) in Rome, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally presented at the meeting, addresses a broad range of topics, including the theory of statistical inference; data mining and…
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- ISBN/ISSN
- 978-3-319-27274-0
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Time Series Modeling for Analysis and Control Advanced Autopilot and Monitor…
This book presents multivariate time series methods for the analysis and optimal control of feedback systems. Although ships’ autopilot systems are considered through the entire book, the methods set forth in this book can be applied to many other complicated, large, or noisy feedback control systems for which it is difficult to derive a model of the entire system based on theory in that subj…
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- ISBN/ISSN
- 978-4-431-55303-8
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Forging Connections between Computational Mathematics and Computational Geometry
This volume presents original research contributed to the 3rd Annual International Conference on Computational Mathematics and Computational Geometry (CMCGS 2014), organized and administered by Global Science and Technology Forum (GSTF). Computational Mathematics and Computational Geometry are closely related subjects, but are often studied by separate communities and published in different ven…
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- ISBN/ISSN
- 9783319161396
- Collation
- XV, 300 hlm.
- Series Title
- Springer Proceedings in Mathematics & Statistics
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Theoretical Aspects of Spatial-Temporal Modeling
This book provides a modern introductory tutorial on specialized theoretical aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of research across a number of quantitative disciplines. For instance, the first chapter provides up-to-date coverage of particle association measures that underpin the theoretical properties…
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- ISBN/ISSN
- 978-4-431-55336-6
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Applications of Measure Theory to Statistics
This book aims to put strong reasonable mathematical senses in notions of objectivity and subjectivity for consistent estimations in a Polish group by using the concept of Haar null sets in the corresponding group. This new approach – naturally dividing the class of all consistent estimates of an unknown parameter in a Polish group into disjoint classes of subjective and objective estimates â…
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- Ed. 1
- ISBN/ISSN
- 978-3-319-45578-5
- Collation
- XV, 134
- Series Title
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- Call Number
- 519.5 PAN a
Nonparametric Statistics
This volume collects selected, peer-reviewed contributions from the 2nd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Cádiz (Spain) between June 11–16 2014, and sponsored by the American Statistical Association, the Institute of Mathematical Statistics, the Bernoulli Society for Mathematical Statistics and Probability, the Journal of Nonparametric Stat…
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- 1
- ISBN/ISSN
- 978-3-319-41581-9
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- XI, 224
- Series Title
- Springer Proceedings in Mathematics & Statistics
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Nonparametric Bayesian Inference in Biostatistics
As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to clinical trials. Many research problems involve an abundance of data and require flexible and complex probability models beyond the…
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- 1
- ISBN/ISSN
- 978-3-319-19517-9
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- XVII, 448
- Series Title
- Frontiers in Probability and the Statistical Sciences
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Nonlinear Principal Component Analysis and Its Applications
This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data. In the part dealing with the principle, after a brief introduction of ordinary PCA, a PCA for categorical data (nominal and ordinal) is introduced as nonlinear PCA, in which an optimal scaling technique is used to quantify …
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- 1
- ISBN/ISSN
- 978-981-10-0157-4
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- X, 80
- Series Title
- SpringerBriefs in Statistics
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An Introduction to Queueing Theory: Modeling and Analysis in Applications
This introductory textbook is designed for a one-semester course on queueing theory that does not require a course on stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of stu…
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- Ed. 1
- ISBN/ISSN
- 978-0-8176-8421-1
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- XIV, 339
- Series Title
- Statistics for Industry and Technology
- Call Number
- 519.2 BHA i
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