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This book is a collection of selected papers presented at the
consecutively held international conferences on "Game Theory and
Networks", organized by the Department of Mathematics, Dibrugarh
University, India, in collaboration with the Economics Department
of Queen's University, Belfast, UK, during September 6-9, 2019 and
September, 13-15 2018. The book includes chapters on network
measures and network formation, application of network theory to
contagion, biological data and finance and macroeconomics as
expository articles. The book also contains chapters on fair
allocation in the context of queuing, rationing and cooperative
games with transferable utilities for engaged researchers. A few
survey chapters on non-cooperative game theory, evolutionary game
theory, mechanism design and social choice theory are also
incorporated to cater to the needs of the beginners in the field.
This book discusses the use of game theoretic tools and network
models across disciplines: mathematics, statistics, economics,
computer science, political science, sociology and psychology. It
aims at providing a suitable learning experience to beginners on
the basics of cooperative games, networks and mechanism design, as
well as recent developments to research scholars having the basic
knowledge of these topics.
This book offers a collection of recent contributions and emerging
ideas in the areas of robust statistics presented at the
International Conference on Robust Statistics 2015 (ICORS 2015)
held in Kolkata during 12-16 January, 2015. The book explores the
applicability of robust methods in other non-traditional areas
which includes the use of new techniques such as skew and mixture
of skew distributions, scaled Bregman divergences, and multilevel
functional data methods; application areas being circular data
models and prediction of mortality and life expectancy. The
contributions are of both theoretical as well as applied in nature.
Robust statistics is a relatively young branch of statistical
sciences that is rapidly emerging as the bedrock of statistical
analysis in the 21st century due to its flexible nature and wide
scope. Robust statistics supports the application of parametric and
other inference techniques over a broader domain than the strictly
interpreted model scenarios employed in classical statistical
methods. The aim of the ICORS conference, which is being organized
annually since 2001, is to bring together researchers interested in
robust statistics, data analysis and related areas. The conference
is meant for theoretical and applied statisticians, data analysts
from other fields, leading experts, junior researchers and graduate
students. The ICORS meetings offer a forum for discussing recent
advances and emerging ideas in statistics with a focus on
robustness, and encourage informal contacts and discussions among
all the participants. They also play an important role in
maintaining a cohesive group of international researchers
interested in robust statistics and related topics, whose
interactions transcend the meetings and endure year round.
This book offers a collection of recent contributions and emerging
ideas in the areas of robust statistics presented at the
International Conference on Robust Statistics 2015 (ICORS 2015)
held in Kolkata during 12-16 January, 2015. The book explores the
applicability of robust methods in other non-traditional areas
which includes the use of new techniques such as skew and mixture
of skew distributions, scaled Bregman divergences, and multilevel
functional data methods; application areas being circular data
models and prediction of mortality and life expectancy. The
contributions are of both theoretical as well as applied in nature.
Robust statistics is a relatively young branch of statistical
sciences that is rapidly emerging as the bedrock of statistical
analysis in the 21st century due to its flexible nature and wide
scope. Robust statistics supports the application of parametric and
other inference techniques over a broader domain than the strictly
interpreted model scenarios employed in classical statistical
methods. The aim of the ICORS conference, which is being organized
annually since 2001, is to bring together researchers interested in
robust statistics, data analysis and related areas. The conference
is meant for theoretical and applied statisticians, data analysts
from other fields, leading experts, junior researchers and graduate
students. The ICORS meetings offer a forum for discussing recent
advances and emerging ideas in statistics with a focus on
robustness, and encourage informal contacts and discussions among
all the participants. They also play an important role in
maintaining a cohesive group of international researchers
interested in robust statistics and related topics, whose
interactions transcend the meetings and endure year round.
This book focuses on the application of data mining techniques in
cricket. It provides detailed examples of how data mining can be
helpful for decision-making in sports with special reference to
cricket, particularly the quantitative features related to Twenty20
cricket, the latest and the most popular format of the game. The
book highlights the performance quantification of cricketers
(batsmen, bowlers, all-rounders, and wicket keepers), determining
the market valuation of cricketers based on their on-field
performances and the effect of age on the performance of the
cricketers. It also provides a comprehensive overview of the
different aspects of the game where quantitative techniques are
beneficial, and highlights the use of statistical and data mining
tools in analysing sports-related data and objective
decision-making in sports. The book appeals to a wide readership,
including postgraduate students of statistics/mathematics, data
analysts, sports management bodies. It also offers data miners,
such as researchers in statistics, mathematics, operations
research, and computer science ideas for projects.
It is an established fact that basic education improves the level
of human well-being especially with regard to life expectancy,
infant mortality and nutritional status of children, as well as a
significant contribution to economic growth. Universal Elementary
Education (UEE) has arranged a programme called "Sarba Shiksha
Abhiyan". It is a historic stride towards achieving the long
cherished goal of Universalisation of Elementary Education (UEE)
through a time bound integrated approach, in partnership with
States. This book provides an in depth examination of the
educational program called "Sarba Shiksha Abhiyan".
Both child labour and child work are serious problems as both lead
to the denial of normal childhood. Early start to work life imparts
training through hands-on experiences but excessive engagement
impacts adversely on physical and mental development. In case of
child work there is not even any economic recognition for the
deprived child and here, especially for the female children, gross
engagement in domestic chores often obstruct normal grooming.
Academic literature concentrates excessively on child labour and
this dormant issue of child work is under-attended. This book
analyses (a) the socio-economic determinants of supply of child
labour and harm due to child work and (b) measurement of harm for
both child labour and child work. Data from the NSSO surveys from
1999-2000 and 2004-2005 are used for this analysis. We find that
investment in schooling leads to increased return in job-market.
Educated parents appreciate this incremental benefit better than
the illiterate parents. Extent of social harm from child work is
much higher than child labour alone and this difference bears
serious gender implications. We conclude by indicating the policy
implications of these findings.
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