Advances in Statistical Methodologies and Their Application to Real Problems

Hokimoto, Tsukasa

Advances in Statistical Methodologies and Their Application to Real Problems

Edited by Tsukasa Hokimoto

Abstract: In recent years, statistical techniques and methods for data analysis have advanced significantly in a wide range of research areas. These developments enable researchers to analyze increasingly large datasets with more flexibility and also more accurately estimate and evaluate the phenomena they study. We recognize the value of recent advances in data analysis techniques in many different research fields. However, we also note that awareness of these different statistical and probabilistic approaches may vary, owing to differences in the datasets typical of different research fields. This book provides a cross-disciplinary forum for exploring the variety of new data analysis techniques emerging from different fields.

JEL-codes: C60 (search for similar items in EconPapers)
Date: 2017
ISBN: 978-953-51-3101-4
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Chapters in this book:

A Comparison Study on Performance of an Adaptive Filter with Other Estimation Methods for State Estimation in High-Dimensional System: Hong Son Hoang and Remy Baraille
A Practical Approach to Evaluating the Economic and Technical Feasibility of LED Luminaires: Sean Schmidt and Suzanna Long
A Statistic Method for Anatomical and Evolutionary Analysis: Roqueline Agmf Aversi-Ferreira, Hisao Nishijo and Tales Alexandre Aversi-Ferreira
Applications of the H-Principle of Mathematical Modelling: Agnar Hoskuldsson
Descriptive and Inferential Statistics in Undergraduate Data Science Research Projects: Malcolm J. D'Souza, Edward Brandenburg, Derald Wentzien, Riza Bautista, Agashi Nwogbaga, Rebecca Miller and Paul Olsen
Distributions and Composite Models for Size-Type Data: Corinne Sinner and Yves Dominicy
Gamma-Kumaraswamy Distribution in Reliability Analysis: Properties and Applications: Indranil Ghosh and Gholamhossein Hamedani
Information-Theoretic Clustering and Algorithms: Toshio Uchiyama
Modelling Limit Order Book Volume Covariance Structures: Andrija Mihoci
Nonlinear Transformations and Radar Detector Design: Graham V Weinberg
On Decoding Brain Electrocorticography Data for Volitional Movement Intention Prediction: Theory and On-Chip Implementation: Mradul Agrawal, Sandeep Vidyashankar and Ke Huang
Signal Optimal Smoothing by Means of Spectral Analysis: Guido Travaglini
The Usage of Statistical Learning Methods on Wearable Devices and a Case Study: Activity Recognition on Smartwatches: Serkan Balli and Ensar Arif Sagbas
Validation of Instrument Measuring Continuous Variable in Medicine: Rafdzah Zaki
Why the Decision-Theoretic Perspective Misrepresents Frequentist Inference: Revisiting Stein's Paradox and Admissibility: Aris Spanos

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Persistent link: https://EconPapers.repec.org/RePEc:ito:pbooks:4439

DOI: 10.5772/62963

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