Computationally Intensive Statistics for Intelligent IoT

Artikelnummer: 978-981-1659-35-5
Einband: Fester Einband
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The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design of experiments, Bayesian analysis, survival analysis and data mining in computational statistics.

The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design of experiments, Bayesian analysis, survival analysis and data mining in computational statistics.

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VerlagSpringer
EinbandFester Einband
Erscheinungsjahr2021
Seitenangabe240 S.
AusgabekennzeichenEnglisch
MasseH24.1 cm x B16.0 cm x D1.9 cm 530 g
ReiheStudies in Autonomic, Data-driven and Industrial Computing
AutorSamanta, Debabrata / Banerjee, Amit

Alle Bände der Reihe "Studies in Autonomic, Data-driven and Industrial Computing"

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