A New Statistical Domain In India
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Author | : Santanu Chaudhury |
Publisher | : Springer |
Total Pages | : 650 |
Release | : 2009-12-15 |
Genre | : Computers |
ISBN | : 3642111645 |
This volume contains the proceedings of the third international conference on Pattern Recognition and Machine Intelligence (PReMI 2009) which was held at the Indian Institute of Technology, New Delhi, India, during December 16–20, 2009. This was the third conference in the series. The first two conferences were held in December at the Indian Statistical Institute, Kolkata in 2005 and 2007. PReMI has become a premier conference in India presenting state-of-art research findings in the areas of machine intelligence and pattern recognition. The conference is also successful in encouraging academic and industrial interaction, and in prom- ing collaborative research and developmental activities in pattern recognition, - chine intelligence and other allied fields, involving scientists, engineers, professionals, researchers and students from India and abroad. The conference is scheduled to be held every alternate year making it an ideal platform for sharing views and expe- ences in these fields in a regular manner. The focus of PReMI 2009 was soft-computing, machine learning, pattern recognition and their applications to diverse fields. As part of PReMI 2009 we had two special workshops. One workshop focused on text mining. The other workshop show-cased industrial and developmental projects in the relevant areas. Premi 2009 attracted 221 submissions from different countries across the world.
Author | : David D. Hanagal |
Publisher | : Springer Nature |
Total Pages | : 318 |
Release | : 2022-04-13 |
Genre | : Mathematics |
ISBN | : 9811679320 |
This book collects select contributions presented at the International Conference on Importance of Statistics in Global Emerging (ISGES 2020) held at the Department of Mathematics and Statistics, University of Pune, Maharashtra, India, from 2–4 January 2020. It discusses recent developments in several areas of statistics with applications of a wide range of key topics, including small area estimation techniques, Bayesian models for small areas, ranked set sampling, fuzzy supply chain, probabilistic supply chain models, dynamic Gaussian process models, grey relational analysis and multi-item inventory models, and more. The possible use of other models, including generalized Lindley shared frailty models, Benktander Gibrat risk model, decision-consistent randomization method for SMART designs and different reliability models are also discussed. This book includes detailed worked examples and case studies that illustrate the applications of recently developed statistical methods, making it a valuable resource for applied statisticians, students, research project leaders and practitioners from various marginal disciplines and interdisciplinary research.
Author | : Arak M. Mathai |
Publisher | : Springer Nature |
Total Pages | : 939 |
Release | : 2022-10-04 |
Genre | : Mathematics |
ISBN | : 3030958647 |
This book explores topics in multivariate statistical analysis, relevant in the real and complex domains. It utilizes simplified and unified notations to render the complex subject matter both accessible and enjoyable, drawing from clear exposition and numerous illustrative examples. The book features an in-depth treatment of theory with a fair balance of applied coverage, and a classroom lecture style so that the learning process feels organic. It also contains original results, with the goal of driving research conversations forward. This will be particularly useful for researchers working in machine learning, biomedical signal processing, and other fields that increasingly rely on complex random variables to model complex-valued data. It can also be used in advanced courses on multivariate analysis. Numerous exercises are included throughout.
Author | : Jun-Ichi Okabe |
Publisher | : |
Total Pages | : 0 |
Release | : 2016 |
Genre | : Internet in public administration |
ISBN | : 9789382381785 |
A new structure of local government, the contemporary village panchayat, has emerged in rural India as a consequence of the Constitution (73rd Amendment) Act, 1992. This new statistical domain requires databases for the development functions that have been allocated to it. This book is a study of panchayat-level databases and their potential use in local-level administration, planning, and policy implementation. It examines the overall status of local-level data available in two contrasting village panchayats: Raina gram panchayat, Barddhaman district, West Bengal; and Warwat Khanderao gram panchayat, Buldhana district, Maharashtra, drawing on interviews on the process of record-keeping and use of accumulated data with officials. The study attempts to understand the current and potential use of such records in decentralized development planning, the periodicity at which the records are updated, and the reliability and accuracy of such records. A specific and unique aspect of the book is its attempt to evaluate the accuracy of certain panchayat-level databases.
Author | : Antonio Navarra |
Publisher | : Springer Science & Business Media |
Total Pages | : 151 |
Release | : 2010-04-05 |
Genre | : Science |
ISBN | : 9048137020 |
Climatology and meteorology have basically been a descriptive science until it became possible to use numerical models, but it is crucial to the success of the strategy that the model must be a good representation of the real climate system of the Earth. Models are required to reproduce not only the mean properties of climate, but also its variability and the strong spatial relations between climate variability in geographically diverse regions. Quantitative techniques were developed to explore the climate variability and its relations between different geographical locations. Methods were borrowed from descriptive statistics, where they were developed to analyze variance of related observations-variable pairs, or to identify unknown relations between variables. A Guide to Empirical Orthogonal Functions for Climate Data Analysis uses a different approach, trying to introduce the reader to a practical application of the methods, including data sets from climate simulations and MATLAB codes for the algorithms. All pictures and examples used in the book may be reproduced by using the data sets and the routines available in the book . Though the main thrust of the book is for climatological examples, the treatment is sufficiently general that the discussion is also useful for students and practitioners in other fields. Supplementary datasets are available via http://extra.springer.com
Author | : Dash, Sujata |
Publisher | : IGI Global |
Total Pages | : 567 |
Release | : 2017-08-10 |
Genre | : Computers |
ISBN | : 152252858X |
The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.
Author | : J. C. Misra |
Publisher | : Alpha Science Int'l Ltd. |
Total Pages | : 664 |
Release | : 2003 |
Genre | : Applied mathematics |
ISBN | : 9788173194887 |
This comprehensive volume introduces educational units dealing with important topics in Industrial Mathematics and Statistics.
Author | : Shrawan Kumar Singh |
Publisher | : Business Expert Press |
Total Pages | : 162 |
Release | : 2020-07-13 |
Genre | : Business & Economics |
ISBN | : 1951527631 |
The objective of this book is to provide an understanding of the economy with its nature and structure, dominance of unorganized sector, natural resources, economic and social infrastructure, demographic features, poverty, unemployment, inequality, national income, saving and investment, role of noneconomic factors, and sources of data. India evokes many images because the country is extremely heterogeneous in its resource endowments, climate, languages, and infrastructure. India provides a rich tapestry of economic and social milieu: the 22 officially recognized languages spoken by the population, with their many dialects; the caste system; and its hoary history with its rich culture and traditions. India possesses a wide and varied resource base, although domestic sources supply only a third of the country’s oil requirements at present. India’s economic performance has attracted considerable commentary and controversy. Since 1950, India’s approach to economic development has been within the framework of a mixed economy, which has resulted from both pragmatic and political considerations. The objective of this book is to provide an understanding of the economy with its nature and structure, dominance of unorganized sector, natural resources, economic and social infrastructure, demographic features, poverty, unemployment, inequality, national income, saving and investment, role of noneconomic factors, and sources of data. Despite being a part of the eight-volume series on the Indian economy, this second volume in the series is in the nature of an introductory essay designed to provide a succinct nontechnical exposition of India’s economic structure, performance, and policies.
Author | : Earnest Charles Watson |
Publisher | : |
Total Pages | : 52 |
Release | : 1962 |
Genre | : Research |
ISBN | : |
Author | : Segall, Richard S. |
Publisher | : IGI Global |
Total Pages | : 1078 |
Release | : 2018-01-05 |
Genre | : Computers |
ISBN | : 1522531432 |
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.