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Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014
This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvågar, Lofoten, Norway, in May 2014. The focus of the symposium was on statistical and machine learning methodologies specifically developed for inference in “big data” situations, with particular reference to genomic applications. The contributors, who are amon…
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- 978-3319270975
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Exponentiated Distributions
This book contains entirely new results, not to be found elsewhere. Furthermore, additional results scattered elsewhere in the literature are clearly presented. Several well-known distributions such as Weibull distributions, exponentiated Burr type XII distributions and exponentiated exponential distributions and their properties are demonstrated. Analysis of real as well as well-simulated data…
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- 978-94-6239-079-9
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- 7 illustrations in colour
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Advances in Complex Data Modeling and Computational Methods in Statistics
The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational ris…
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- Ed. 1
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- 978-3-319-11149-0
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- VIII, 209
- Series Title
- Contributions to Statistics
- Call Number
- 519.5 ADV a
Advances and Challenges in Parametric and Semi-parametric Analysis for Correl…
This proceedings volume contains eight selected papers that were presented in the International Symposium in Statistics (ISS) 2015 On Advances in Parametric and Semi-parametric Analysis of Multivariate, Time Series, Spatial-temporal, and Familial-longitudinal Data, held in St. John’s, Canada from July 6 to 8, 2015. The main objective of the ISS-2015 was the discussion on advances and challeng…
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- Ed. 1
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- 978-3-319-31260-6
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- XIX, 256
- Series Title
- Lecture Notes in Statistics
- Call Number
- 005.55 ADV a
Excel 2016 for Marketing Statistics
This is the first book to show the capabilities of Microsoft Excel in teaching marketing statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical marketing problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is …
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- 978-3-319-43376-9
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- 167 illustrations in colour
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Examples in Parametric Inference with R
This book discusses examples in parametric inference with R. Combining basic theory with modern approaches, it presents the latest developments and trends in statistical inference for students who do not have an advanced mathematical and statistical background. The topics discussed in the book are fundamental and common to many fields of statistical inference and thus serve as a point of depart…
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- ISBN/ISSN
- 978-981-10-0889-4
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- 26 b/w illustrations
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Landscape Ecology in Theory and Practice: Pattern and Process
This work provides in-depth analysis of the origins of landscape ecology and its close alignment with the understanding of scale, the causes of landscape pattern, and the interactions of spatial pattern with a variety of ecological processes. The text covers the quantitative approaches that are applied widely in landscape studies, with emphasis on their appropriate use and interpretation. Th…
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- 978-1-4939-2794-4
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Modern Methodology and Applications in Spatial-Temporal Modeling
This book provides a modern introductory tutorial on specialized methodological and applied 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 deals with non-parametric Bayesian inference via a recently developed framework known a…
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- 1
- ISBN/ISSN
- 978-4-431-55338-0
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- XV
- Series Title
- SpringerBriefs in Statistics
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Modern Nonparametric, Robust and Multivariate Methods
Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures. Some examples from statistical signal processing are also given. The volu…
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- 1
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- 978-3-319-22403-9
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- xx, 506
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Estimation and Testing Under Sparsity École d'Été de Probabilités de Sai…
Taking the Lasso method as its starting point, this book describes the main ingredients needed to study general loss functions and sparsity-inducing regularizers. It also provides a semi-parametric approach to establishing confidence intervals and tests. Sparsity-inducing methods have proven to be very useful in the analysis of high-dimensional data. Examples include the Lasso and group Lasso m…
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- 978-3-319-32774-7
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- XIII, 274
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