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Innovations in Multivariate Statistical Modeling - Navigating Theoretical and Multidisciplinary Domains (Hardcover, 1st ed. 2022)
Loot Price: R4,292
Discovery Miles 42 920
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Innovations in Multivariate Statistical Modeling - Navigating Theoretical and Multidisciplinary Domains (Hardcover, 1st ed. 2022)
Series: Emerging Topics in Statistics and Biostatistics
Expected to ship within 12 - 17 working days
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Total price: R4,312
Discovery Miles: 43 120
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Multivariate statistical analysis has undergone a rich and varied
evolution during the latter half of the 20th century. Academics and
practitioners have produced much literature with diverse interests
and with varying multidisciplinary knowledge on different topics
within the multivariate domain. Due to multivariate algebra being
of sustained interest and being a continuously developing field,
its appeal breaches laterally across multiple disciplines to act as
a catalyst for contemporary advances, with its core inferential
genesis remaining in that of statistics. It is exactly this varied
evolution caused by an influx in data production, diffusion, and
understanding in scientific fields that has blurred many lines
between disciplines. The cross-pollination between statistics and
biology, engineering, medical science, computer science, and even
art, has accelerated the vast amount of questions that statistical
methodology has to answer and report on. These questions are often
multivariate in nature, hoping to elucidate uncertainty on more
than one aspect at the same time, and it is here where statistical
thinking merges mathematical design with real life interpretation
for understanding this uncertainty. Statistical advances benefit
from these algebraic inventions and expansions in the multivariate
paradigm. This contributed volume aims to usher novel research
emanating from a multivariate statistical foundation into the
spotlight, with particular significance in multidisciplinary
settings. The overarching spirit of this volume is to highlight
current trends, stimulate a focus on, and connect multidisciplinary
dots from and within multivariate statistical analysis. Guided by
these thoughts, a collection of research at the forefront of
multivariate statistical thinking is presented here which has been
authored by globally recognized subject matter experts.
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