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Analyzing Data Through Probabilistic Modeling in Statistics (Paperback)
Loot Price: R4,997
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Analyzing Data Through Probabilistic Modeling in Statistics (Paperback)
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Probabilistic modeling represents a subject arising in many
branches of mathematics, economics, and computer science. Such
modeling connects pure mathematics with applied sciences.
Similarly, data analyzing and statistics are situated on the border
between pure mathematics and applied sciences. Therefore, when
probabilistic modeling meets statistics, it is a very interesting
occasion that has gained much research recently. With the increase
of these technologies in life and work, it has become somewhat
essential in the workplace to have planning, timetabling,
scheduling, decision making, optimization, simulation, data
analysis, and risk analysis and process modeling. However, there
are still many difficulties and challenges that arrive in these
sectors during the process of planning or decision making. There
continues to be the need for more research on the impact of such
probabilistic modeling with other approaches. Analyzing Data
Through Probabilistic Modeling in Statistics is an essential
reference source that builds on the available literature in the
field of probabilistic modeling, statistics, operational research,
planning and scheduling, data extrapolation in decision making,
probabilistic interpolation and extrapolation in simulation,
stochastic processes, and decision analysis. This text will provide
the resources necessary for economics and management sciences and
for mathematics and computer sciences. This book is ideal for
interested technology developers, decision makers, mathematicians,
statisticians and practitioners, stakeholders, researchers,
academicians, and students looking to further their research
exposure to pertinent topics in operations research and
probabilistic modeling.
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