Introduction to financial models for management and planning, Morris, James R. (university Of Colorado, Denver, Usa) Daley, John P. (university Of Colorado, Denver, Usa)

Автор: James, Gareth Witten, Daniela Hastie, Trevor Tibsh
Название: Introduction to statistical learning
ISBN: 1071614177 ISBN-13(EAN): 9781071614174
Издательство: Springer
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Цена: 55890.00 T
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Описание: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more.

Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers.

An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naive Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.

Автор: Gomes, Maria Isabel,
Название: Mathematical models for decision making with multiple perspectives :
ISBN: 0367440741 ISBN-13(EAN): 9780367440749
Издательство: Taylor&Francis
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Цена: 153120.00 T
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Описание: This book brings together, in a single volume, the fields of multicriteria decision making and multiobjective optimization that are traditionally covered by different books. It is written in a didactic form using examples to help understanding of the proposed methodologies better.

Автор: Valdez Stephen
Название: An Introduction to Global Financial Markets
ISBN: 1137497556 ISBN-13(EAN): 9781137497550
Издательство: Springer
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Цена: 56830.00 T
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Описание: An accessible but comprehensive guide to the world of finance and financial markets. Taking an international approach, the authors examine the different types of banking and markets around the world, and cover foreign exchange and derivative products. This edition is right up to date and incorporates recent events and developments in finance.

Автор: Tayali, Halit Alper (istanbul Universitesi)
Название: Introduction to mathematical models in operations planning
ISBN: 1032191996 ISBN-13(EAN): 9781032191997
Издательство: Taylor&Francis
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Цена: 56130.00 T
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Автор: Ross, Sheldon M.
Название: Introduction To Probability And Statistics For Engineers And Scientists
ISBN: 0128243465 ISBN-13(EAN): 9780128243466
Издательство: Elsevier Science
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Цена: 110030.00 T
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Описание: Letter Jam is a 2-6 player cooperative word game where players assist each other in composing meaningful words from letters around the table. The trick is holding the letter card so that it`s only visible to other players and not to you.At the start of the game, each player receives a set of face-down letter cards that can be arranged to form an existing word. The setup can be prepared by using a special card scanning app, or by players selecting words for each other. Each player then puts their first card in their stand facing the other players without looking at it, and the game begins.The game is played in turns. Each turn, players simultaneously search other players` letters to see what words they can spell out (telling the others the length of the word they can make up). The player who offers the longest word can then be chosen as the clue giver.The clue giver spells out their clue by putting numbered tokens in front of the other players. Number one goes to the player whose letter comes first in the clue, number two to the second letter etc. They can always use a wild card which can be any letter, but they cannot tell others which letter it represents.Each player with a numbered token (or tokens) in front of them then tries to figure out what their letter is. If they do, they place the card face down before revealing the next letter. At the end of the game, players can then rearrange the cards to try to form an existing word. All players then reveal their cards to see if they were successful or not. The more players who have an existing word in front of them, the bigger their common success.

Автор: Burfisher, Mary E.
Название: Introduction to computable general equilibrium models 3rd edition
ISBN: 1108748023 ISBN-13(EAN): 9781108748025
Издательство: Cambridge Academ
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Цена: 54910.00 T
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Описание: This intuitive, hands-on introduction to computable general equilibrium models (a tool used to support public policy making on issues including trade, climate change and taxation) will benefit students across a spectrum of economic studies, including international trade, environmental economics, macroeconomics, microeconomics, and public finance.

Автор: Severini, Thomas A
Название: Introduction to Statistical Methods for Financial Models
ISBN: 0367657872 ISBN-13(EAN): 9780367657871
Издательство: Taylor&Francis
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Цена: 50010.00 T
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Автор: Feng
Название: An Introduction To Computational Ri
ISBN: 1498742165 ISBN-13(EAN): 9781498742160
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in traditional life and annuity products, insurers face unprecedented financial risks since the introduction of equity-linking insurance in 1960s. As the industry moves into the new territory of managing many intertwined financial and insurance risks, non-traditional problems and challenges arise, presenting great opportunities for technology development. Today's computational power and technology make it possible for the life insurance industry to develop highly sophisticated models, which were impossible just a decade ago. Nonetheless, as more industrial practices and regulations move towards dependence on stochastic models, the demand for computational power continues to grow. While the industry continues to rely heavily on hardware innovations, trying to make brute force methods faster and more palatable, we are approaching a crossroads about how to proceed. An Introduction to Computational Risk Management of Equity-Linked Insurance provides a resource for students and entry-level professionals to understand the fundamentals of industrial modeling practice, but also to give a glimpse of software methodologies for modeling and computational efficiency. Features Provides a comprehensive and self-contained introduction to quantitative risk management of equity-linked insurance with exercises and programming samples Includes a collection of mathematical formulations of risk management problems presenting opportunities and challenges to applied mathematicians Summarizes state-of-arts computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature and the practice of risk management for investment-combined life insurance Gives a comprehensive review of both Monte Carlo simulation methods and non-simulation numerical methods Runhuan Feng is an Associate Professor of Mathematics and the Director of Actuarial Science at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and a Chartered Enterprise Risk Analyst. He is a Helen Corley Petit Professorial Scholar and the State Farm Companies Foundation Scholar in Actuarial Science. Runhuan received a Ph.D. degree in Actuarial Science from the University of Waterloo, Canada. Prior to joining Illinois, he held a tenure-track position at the University of Wisconsin-Milwaukee, where he was named a Research Fellow. Runhuan received numerous grants and research contracts from the Actuarial Foundation and the Society of Actuaries in the past. He has published a series of papers on top-tier actuarial and applied probability journals on stochastic analytic approaches in risk theory and quantitative risk management of equity-linked insurance. Over the recent years, he has dedicated his efforts to developing computational methods for managing market innovations in areas of investment combined insurance and retirement planning.

Автор: Hens, Thorsten Rieger, Marc Oliver
Название: Financial economics
ISBN: 3662496860 ISBN-13(EAN): 9783662496862
Издательство: Springer
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Цена: 93160.00 T
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Описание: Financial economics is a fascinating topic where ideas from economics, mathematics and, most recently, psychology are combined to understand financial markets. This book gives a concise introduction into this field and includes for the first time recent results from behavioral finance that help to understand many puzzles in traditional finance.

Автор: Olivieri, Annamaria Pitacco, Ermanno
Название: Introduction to insurance mathematics
ISBN: 3319213768 ISBN-13(EAN): 9783319213767
Издательство: Springer
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Цена: 65210.00 T
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Описание: Introduction to Insurance Mathematics

Автор: Igor V. Evstigneev; Thorsten Hens; Klaus Reiner Sc
Название: Mathematical Financial Economics
ISBN: 3319165704 ISBN-13(EAN): 9783319165707
Издательство: Springer
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Цена: 74530.00 T
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Описание: This textbook is an elementary introduction to the key topics in mathematical finance and financial economics - two realms of ideas that substantially overlap but are often treated separately from each other.

Автор: Tsay
Название: An Introduction to Analysis of Financial Data with R
ISBN: 0470890819 ISBN-13(EAN): 9780470890813
Издательство: Wiley
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Цена: 124550.00 T
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Описание: A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data.