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Decentralized Insurance: Technical Foundation of Business Models

Posted By: AvaxGenius

Date: 23 May 2023 00:44:09

The book offers an introduction to the technical foundation of decentralized insurance models, for advanced undergraduate students, graduate students and practitioners. The book is self-contained and anyone with a basic knowledge of probability and statistics should be able to follow through the entire book. It adopts a minimalist approach to describe the essential elements and first principles so that readers can get a gist of these models without being overwhelmed with too much technicality. It can be used as a reference for business model designs. The inclusion of exercises and practical examples makes the book suitable for advanced courses on decentralized insurance and risk sharing.

Decentralized Insurance Science Risk Sharing Decentralized finance Mathematics Business Economics Probability Applied Statistics Applied Probability

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Core Concepts and Methods in Load Forecasting: With Applications in Distribution Networks

Posted By: AvaxGenius

Date: 1 May 2023 04:17:53

This comprehensive book enables readers to discover the essential techniques for load forecasting in electricity networks, particularly for active distribution networks.

Science Demand management Smart meter Low voltage Time series analysis Time series forecasting Science Power Stations Applied Probability Electrical Power Engineering Neural Circuits Thermal Energy Storage Control Robotics Automation

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Stochastic Processes Problems and Solutions

Posted By: AvaxGenius

Date: 3 Apr 2023 19:59:18

Stochastic Processes Problems and Solutions by L. Takács
English | PDF | 1966 | 143 Pages | ISBN : 0412203405 | 8.3 MB

It is not so very long ago that up-to-date text-books on statistics were almost non-existent. In the last few decades this deficiency has largely been remedied, but in order to cope with a broad and rapidly expanding subject many of these books have been fairly big and expensive. The success of Methuen's existing series of monographs, in physics or in biology, for example, stresses the value of short inexpensive treatments to which a student can turn for an introduc tion to, or a revision of, specialised topics. In this new Methuen series the still-growing importance of prob ability theory in its applied aspects has been recognised by coupling together Probability and Statistics; and included in the series are some of the newer applications of probability theory to stochastic models in various fields, storage and service problems, 'Monte Carlo' techniques, etc. , as well as monographs on particular statistical topics.

Science Stochastic Processes Statistics Applied Probability Probability

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Probability, Statistics and Simulation: With Application Programs Written in R

Posted By: AvaxGenius

Date: 10 Dec 2022 00:51:43

This book presents in a compact form the program carried out in introductory statistics courses and discusses some essential topics for research activity, such as Monte Carlo simulation techniques, methods of statistical inference, best fit and analysis of laboratory data. All themes are developed starting from fundamentals, highlighting their applicative aspects, up to the detailed description of several cases particularly relevant for technical and scientific research. The text is dedicated to university students in scientific fields and to all researchers who have to solve practical problems by applying data analysis and simulation procedures. The R software is adopted throughout the book, with a rich library of original programs accessible to the readers through a website.

Science Probability Statistics Simulation R Monte Carlo Mathematics Applied Probability

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Inverse Probleme mit stochastisch modellierten Messdaten

Posted By: AvaxGenius

Date: 3 Dec 2022 12:01:29

Inverse Probleme mit stochastisch modellierten Messdaten: Stochastische und numerische Methoden der Diskretisierung und Optimierung by Mathias Richter, Stefan Schäffler
Deutsch | PDF | 2022 | 300 Pages | ISBN : 3662663422 | 7.3 MB

Wesentliche Zielsetzung dieses Buchs ist eine in sich abgeschlossene Darstellung der zur Lösung inverser Probleme notwendigen Kenntnisse von der mathematischen Analyse bis zur numerischen Lösung. Konkrete Anwendungsfälle aus Naturwissenschaften und Technik geben den Umfang der benötigten mathematischen Methoden vor. Dazu gehört insbesondere die stochastische Modellierung der unvorhersehbaren Störungen von Messdaten, die bisher in Lehrbüchern zu inversen und schlecht gestellten Problemen nicht berücksichtigt wird. Die stochastische Modellierung steht in engem Zusammenhang mit der für den Computereinsatz essentiellen Diskretisierung beziehungsweise Parametrisierung inverser Probleme, auf die besonderes Augenmerk gerichtet wird. Ein weiterer Schwerpunkt ist die praktische Lösung der aus der Diskretisierung resultierenden globalen, im Allgemeinen nichtlinearen Optimierungsprobleme. Hingegen wird auf die Besprechung einer abstrakten Theorie der Regularisierung verzichtet.

Science Inverse Probleme Stochastic Modelling Applied Probability Stochastic Analysis

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Applied Probability and Stochastic Processes, Second Edition (Repost)

Posted By: AvaxGenius

Date: 28 Oct 2022 11:38:35

Applied Probability and Stochastic Processes, Second Edition (Repost)

This book presents applied probability and stochastic processes in an elementary but mathematically precise manner, with numerous examples and exercises to illustrate the range of engineering and science applications of the concepts. The book is designed to give the reader an intuitive understanding of probabilistic reasoning, in addition to an understanding of mathematical concepts and principles. The initial chapters present a summary of probability and statistics and then Poisson processes, Markov chains, Markov processes and queuing processes are introduced. Advanced topics include simulation, inventory theory, replacement theory, Markov decision theory, and the use of matrix geometric procedures in the analysis of queues.

Science Probability Stochastic Processes Applied Probability Markov Decicision Processes Markov Chains Inventory Theory Markov chain

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Stochastic Ordering and Dependence in Applied Probability

Posted By: AvaxGenius

Date: 27 Oct 2022 12:53:48

Stochastic Ordering and Dependence in Applied Probability by R. Szekli
English | PDF | 1995 | 204 Pages | ISBN : 0387944508 | 24.6 MB

This book is an introductionary course in stochastic ordering and dependence in the field of applied probability for readers with some background in mathematics. It is based on lectures and senlinars I have been giving for students at Mathematical Institute of Wroclaw University, and on a graduate course a.t Industrial Engineering Department of Texas A&M University, College Station, and addressed to a reader willing to use for example Lebesgue measure, conditional expectations with respect to sigma fields, martingales, or compensators as a common language in this field.

Science Applied Probability Stochastic Ordering Probability Markov process Random variable

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Recent Advances in Applied Probability (Repost)

Posted By: AvaxGenius

Date: 27 Oct 2022 11:45:33

Recent Advances in Applied Probability (Repost)

Recent Advances in Applied Probability by Ricardo Baeza-Yates, Joseph Glaz, Henryk Gzyl, Jürgen Hüsler, José Luis Palacios
English | PDF | 2006 | 497 Pages | ISBN : 0387233784 | 12 MB

Applied probability is a broad research area that is of interest to scientists in diverse disciplines in science and technology, including: anthropology, biology, communication theory, economics, epidemiology, finance, geography, linguistics, medicine, meteorology, operations research, psychology, quality control, sociology, and statistics. Recent Advances in Applied Probability is a collection of survey articles that bring together the work of leading researchers in applied probability to present current research advances in this important area.

Science calculus Applied Probability Probability

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Applied Probability (Repost)

Posted By: AvaxGenius

Date: 21 Oct 2022 11:57:37

Applied Probability by Kenneth Lange
English | PDF | 2003 | 378 Pages | ISBN : 0387004254 | 4.3 MB

Despite the fears of university mathematics departments, mathematics educat,ion is growing rather than declining. But the truth of the matter is that the increases are occurring outside departments of mathematics. Engineers, computer scientists, physicists, chemists, economists, statis- cians, biologists, and even philosophers teach and learn a great deal of mathematics. The teaching is not always terribly rigorous, but it tends to be better motivated and better adapted to the needs of students. In my own experience teaching students of biostatistics and mathematical bi- ogy, I attempt to convey both the beauty and utility of probability.

Science Probability theory Applied Probability Probability numerical analysis algorithm Probability Theory Statistical Theory Statistics

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Fundamentals of Matrix-Analytic Methods (Repost)

Posted By: AvaxGenius

Date: 20 Aug 2022 03:11:32

Fundamentals of Matrix-Analytic Methods (Repost)

Fundamentals of Matrix-Analytic Methods by Qi-Ming He
English | PDF | 2014 | 363 Pages | ISBN : 1461473292 | 3.5 MB

Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of Matrix-Analytic Methods, Phase-Type Distributions, Markovian arrival processes and Structured Markov chains and matrix geometric solutions.

Science Algorithmic Approach Applied Probability Probability Inventory Control Markov Chains Probability Distribution Nonnegative Matrix Matrix-analytic Methods Reliability Models Queuing Theory insurance Analysis Stochastic Models Telecommunications Supply Chain Management Mathematics Computing Engineering Management Science Probability Theory Operations Research Decision Theory Mathematical Modeling Industrial Mathematics

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High-Dimensional Optimization and Probability: With a View Towards Data Science

Posted By: AvaxGenius

Date: 8 Aug 2022 02:48:11

This volume presents extensive research devoted to a broad spectrum of mathematics with emphasis on interdisciplinary aspects of Optimization and Probability. Chapters also emphasize applications to Data Science, a timely field with a high impact in our modern society.

Science Optimization Probability Applied Probability IT in Business Applications of Mathematics Mathematics

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Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis: Recent Advances

Posted By: AvaxGenius

Date: 2 Jul 2022 14:00:00

This book considers a broad range of areas from decision making methods applied in the contexts of Risk, Reliability and Maintenance (RRM). Intended primarily as an update of the 2015 book Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis, this edited work provides an integration of applied probability and decision making. Within applied probability, it primarily includes decision analysis and reliability theory, amongst other topics closely related to risk analysis and maintenance.

Science Multicriteria Decision Making Risk Reliability Maintenance Applied Probability Probability MCDA Multicriteria Models Multiobjective Models Optimization

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Object Oriented Data Analysis

Posted By: yoyoloit

Date: 17 Oct 2021 07:46:26

Data Analysis Applied Probability

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