Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science: Essays in Honour of Wolfgang Schmid - - Grāmatas - Springer International Publishing AG - 9783031691102 - 2024. gada 23. oktobris
Ja vāks un nosaukums nesakrīt, pareizs ir nosaukums

Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science: Essays in Honour of Wolfgang Schmid 2024 edition

Cena
€ 222,49

Pasūtīts no attālās noliktavas

Paredzamā piegāde . gada 20. - 30. nov.
Ziemassvētku dāvanas var atgriezt līdz 31. janvārim

Mūsu klienti saka:

14 dienu atgriešanas politika saskaņā ar Eiropas patērētāju tiesību aizsardzības likumu
Top vieta Trustpilot
Pievienot savam iMusic vēlmju sarakstam

Not rated yet

This book presents a unique collection of contributions on modern methods and applications in three key areas of statistics, celebrating the significant work of Wolfgang Schmid in this field. It is structured thematically into parts focusing on statistical process monitoring, financial statistics, and spatial statistics with environmetrics, each featuring chapters from leading experts. The opening articles on statistical process monitoring present novel methodologies for the detection of anomalies and control charting techniques, which are crucial for maintaining quality in manufacturing processes.

Detailed discussions are included on integrating multivariate statistical methods and real-time monitoring to enhance process reliability and efficiency. The part on financial statistics explores rigorous approaches in financial econometrics, with an emphasis on dynamic modelling of market volatility and risk assessment. Contributions cover advanced asset allocation strategies, leveraging high-dimensional data analysis, and the application of machine learning techniques.

Spatial statistics and environmetrics are addressed through innovative research on the statistical analysis of environmental data. This includes the use of geostatistical models and hybrid models that combine traditional statistical techniques with machine learning to improve the prediction of environmental phenomena. Key topics here involve the modelling of extremes and airborne pollutants, the prediction of earthquakes using a smartphone-based sensor network, and reviews of selected topics essential in modern spatial statistics.

Each part not only reflects Wolfgang Schmid’s interests and impact in these areas but also provides detailed theoretical and applied studies, demonstrating how these sophisticated statistical methods can be effectively employed in practical scenarios. This makes the book an indispensable resource for researchers and practitioners looking to apply cutting-edge statistical techniques in these complex fields.

Mediji Grāmatas     Hardcover Book   (Grāmata ar cieto muguriņu un vāku)
Izlaists 2024. gada 23. oktobris
ISBN13 9783031691102
Izdevēji Springer International Publishing AG
Lapas 509
Izmēri 150 × 220 × 20 mm   ·   898 g
Valoda Vācu  
Redaktors Knoth, Sven
Redaktors Okhrin, Yarema
Redaktors Otto, Philipp

Vairāk no tā paša izdevēja