Computational Statistics and Applications

Edited by Ricardo Lopez-Ruiz

in Books from IntechOpen

Abstract: Nature evolves mainly in a statistical way. Different strategies, formulas, and conformations are continuously confronted in the natural processes. Some of them are selected and then the evolution continues with a new loop of confrontation for the next generation of phenomena and living beings. Failings are corrected without a previous program or design. The new options generated by different statistical and random scenarios lead to solutions for surviving the present conditions. This is the general panorama for all scrutiny levels of the life cycles. Over three sections, this book examines different statistical questions and techniques in the context of machine learning and clustering methods, the frailty models used in survival analysis, and other studies of statistics applied to diverse problems.

JEL-codes: C10 (search for similar items in EconPapers)
Date: 2022
ISBN: 978-1-83969-782-1
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Chapters in this book:

A New Functional Clustering Method with Combined Dissimilarity Sources and Graphical Interpretation

Wenlin Dai, Stavros Athanasiadis and Tomas Mrkvicka

Causality Relationship between Import, Export and Exim Bank Loans: Turkish Economy

Yuksel Akay Unvan and Ulviyya Nahmatli

Computational Statistics with Dummy Variables

Adji Achmad Rinaldo Fernandes, Solimun and Nurjannah

Dependent Dirichlet Processes for Analysis of a Generalized Shared Frailty Model

Chong Zhong, Zhihua Ma, Junshan Shen and Catherine Chunling Liu

Estimation of Means of Two Quantitative Sensitive Variables Using Randomized Response Technique

Amod Kumar

Fast Computation of the EM Algorithm for Mixture Models

Masahiro Kuroda

Modeling Heterogeneity Using Lindley Distribution

Lalpawimawha and Arvind Pandey

Network Meta-Analysis Using R for Diabetes Data

Nilgun Yildiz

Sparse Boosting Based Machine Learning Methods for High-Dimensional Data

Mu Yue

Variance Balanced Design

Dilip Ghosh

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Persistent link: https://EconPapers.repec.org/RePEc:ito:pbooks:7270

DOI: 10.5772/intechopen.95652

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