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Author: Erik Meijer
Publisher:
ISBN:
Category :
Languages : en
Pages : 3
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Book Description
We give an example of an asymmetric distribution with zero skewness.Zero skewness is often taken to mean that the distribution is asymmetric. However, this is not correct. There exist asymmetric distributions that have zero third central moment. Here we give an example. First, we give the definition of a symmetric and an asymmetric distribution.
Author: Erik Meijer
Publisher:
ISBN:
Category :
Languages : en
Pages : 3
Get Book Here
Book Description
We give an example of an asymmetric distribution with zero skewness.Zero skewness is often taken to mean that the distribution is asymmetric. However, this is not correct. There exist asymmetric distributions that have zero third central moment. Here we give an example. First, we give the definition of a symmetric and an asymmetric distribution.
Author: Emilio Gómez Déniz
Publisher: MDPI
ISBN: 3039366467
Category : Social Science
Languages : en
Pages : 146
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Book Description
In recent years, the advances and abilities of computer software have substantially increased the number of scientific publications that seek to introduce new probabilistic modelling frameworks, including continuous and discrete approaches, and univariate and multivariate models. Many of these theoretical and applied statistical works are related to distributions that try to break the symmetry of the normal distribution and other similar symmetric models, mainly using Azzalini's scheme. This strategy uses a symmetric distribution as a baseline case, then an extra parameter is added to the parent model to control the skewness of the new family of probability distributions. The most widespread and popular model is the one based on the normal distribution that produces the skewed normal distribution. In this Special Issue on symmetric and asymmetric distributions, works related to this topic are presented, as well as theoretical and applied proposals that have connections with and implications for this topic. Immediate applications of this line of work include different scenarios such as economics, environmental sciences, biometrics, engineering, health, etc. This Special Issue comprises nine works that follow this methodology derived using a simple process while retaining the rigor that the subject deserves. Readers of this Issue will surely find future lines of work that will enable them to achieve fruitful research results.
Author: Emilio Gómez Déniz
Publisher:
ISBN: 9783039366477
Category :
Languages : en
Pages : 146
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Book Description
In recent years, the advances and abilities of computer software have substantially increased the number of scientific publications that seek to introduce new probabilistic modelling frameworks, including continuous and discrete approaches, and univariate and multivariate models. Many of these theoretical and applied statistical works are related to distributions that try to break the symmetry of the normal distribution and other similar symmetric models, mainly using Azzalini's scheme. This strategy uses a symmetric distribution as a baseline case, then an extra parameter is added to the parent model to control the skewness of the new family of probability distributions. The most widespread and popular model is the one based on the normal distribution that produces the skewed normal distribution. In this Special Issue on symmetric and asymmetric distributions, works related to this topic are presented, as well as theoretical and applied proposals that have connections with and implications for this topic. Immediate applications of this line of work include different scenarios such as economics, environmental sciences, biometrics, engineering, health, etc. This Special Issue comprises nine works that follow this methodology derived using a simple process while retaining the rigor that the subject deserves. Readers of this Issue will surely find future lines of work that will enable them to achieve fruitful research results.
Author: Alexander Holmes
Publisher:
ISBN: 9781947172463
Category : Commercial statistics
Languages : en
Pages : 0
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Book Description
Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.
Author: Mustapha Abiodun Akinkunmi
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1547401354
Category : Business & Economics
Languages : en
Pages : 276
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Book Description
Business Statistics with Solutions in R covers a wide range of applications of statistics in solving business related problems. It will introduce readers to quantitative tools that are necessary for daily business needs and help them to make evidence-based decisions. The book provides an insight on how to summarize data, analyze it, and draw meaningful inferences that can be used to improve decisions. It will enable readers to develop computational skills and problem-solving competence using the open source language, R. Mustapha Abiodun Akinkunmi uses real life business data for illustrative examples while discussing the basic statistical measures, probability, regression analysis, significance testing, correlation, the Poisson distribution, process control for manufacturing, time series analysis, forecasting techniques, exponential smoothing, univariate and multivariate analysis including ANOVA and MANOVA and more in this valuable reference for policy makers, professionals, academics and individuals interested in the areas of business statistics, applied statistics, statistical computing, finance, management and econometrics.
Author: Jamie Alcock
Publisher: John Wiley & Sons
ISBN: 1119289025
Category : Business & Economics
Languages : en
Pages : 428
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Book Description
Avoid downturn vulnerability by managing correlation dependency Asymmetric Dependence in Finance examines the risks and benefits of asset correlation, and provides effective strategies for more profitable portfolio management. Beginning with a thorough explanation of the extent and nature of asymmetric dependence in the financial markets, this book delves into the practical measures fund managers and investors can implement to boost fund performance. From managing asymmetric dependence using Copulas, to mitigating asymmetric dependence risk in real estate, credit and CTA markets, the discussion presents a coherent survey of the state-of-the-art tools available for measuring and managing this difficult but critical issue. Many funds suffered significant losses during recent downturns, despite having a seemingly well-diversified portfolio. Empirical evidence shows that the relation between assets is much richer than previously thought, and correlation between returns is dependent on the state of the market; this book explains this asymmetric dependence and provides authoritative guidance on mitigating the risks. Examine an options-based approach to limiting your portfolio's downside risk Manage asymmetric dependence in larger portfolios and alternate asset classes Get up to speed on alternative portfolio performance management methods Improve fund performance by applying appropriate models and quantitative techniques Correlations between assets increase markedly during market downturns, leading to diversification failure at the very moment it is needed most. The 2008 Global Financial Crisis and the 2006 hedge-fund crisis provide vivid examples, and many investors still bear the scars of heavy losses from their well-managed, well-diversified portfolios. Asymmetric Dependence in Finance shows you what went wrong, and how it can be corrected and managed before the next big threat using the latest methods and models from leading research in quantitative finance.
Author: Bruce B. Frey
Publisher: SAGE Publications
ISBN: 150632617X
Category : Education
Languages : en
Pages : 4569
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Book Description
In an era of curricular changes, experiments, and high-stakes testing, educational measurement and evaluation are more important than ever. In addition to expected entries covering the basics of traditional theories and methods, The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation also covers important sociopolitical issues and trends influencing the future of that research and practice. Textbooks, handbooks, monographs, and other publications focus on various aspects of educational research, measurement, and evaluation, but to date, there exists no major reference guide for students new to the field. This comprehensive work fills that gap, covering traditional areas while pointing the way to future developments. Key Features: Nearly 700 signed entries are contained in an authoritative work spanning four volumes and available in electronic and/or print formats. Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of education research, measurement, and evaluation to more easily locate directly related entries. Back matter includes a Chronology of the development of the field; a Resource Guide to classic books, journals, and associations; and a detailed Index. Entries conclude with Further Readings and cross-references to related entries. The Index, Reader’s Guide themes, and cross-references combine to provide a robust search-and-browse in the electronic version.
Author: Graham T. Smith
Publisher: Springer Science & Business Media
ISBN: 1447138147
Category : Technology & Engineering
Languages : en
Pages : 336
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Book Description
The subject of this book is surface metrology, in particular two major aspects: surface texture and roundness. It has taken a long time for manufacturing engineers and designers to realise the usefulness of these features in quality of conformance and quality of design. Unfortunately this awareness has come at a time when engineers versed in the use and specification of surfaces are at a premium. Traditionally surface metrology usage has been dictated by engineers who have served long and demanding apprenticeships, usually in parallel with studies leading to technician-level qualifications. Such people understood the processes and the achievable accuracies of machine tools, thereby enabling them to match production capability with design requirements. This synergy, has been made possible by the understanding of adherence to careful metrological procedures and a detailed knowledge of surface measuring instruments and their operation, in addition to wider inspection room techniques. With the demise in the UK of polytechnics and technical colleges, this source of skilled technicians has all but dried up. The shortfall has been made up of semi skilled craftsmen, or inexperienced graduates who cannot be expected to satisfy tradition al or new technology needs. Miniaturisation, for example, has had a pro found effect. Engineering parts are now routinely being made with nanometre surface texture and fiatness. At these molecular and atomic scales, the engineer has to be a physicist.
Author: Michael W. Liemohn
Publisher: John Wiley & Sons
ISBN: 1119747872
Category : Science
Languages : en
Pages : 452
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Book Description
An initial course in scientific data analysis and hypothesis testing designed for students in all science, technology, engineering, and mathematics disciplines Data Analysis for the Geosciences: Essentials of Uncertainty, Comparison, and Visualization is a textbook for upper-level undergraduate STEM students, designed to be their statistics course in a degree program. This volume provides a comprehensive introduction to data analysis, visualization, and data-model comparisons and metrics, within the framework of the uncertainty around the values. It offers a learning experience based on real data from the Earth, ocean, atmospheric, space, and planetary sciences. Volume highlights include: Serves as an initial course in scientific data analysis and hypothesis testing Focuses on the methods of data processing Introduces a wide range of analysis techniques Describes the many ways to compare data with models Centers on applications rather than derivations Explains how to select appropriate statistics for meaningful decisions Explores the importance of the concept of uncertainty Uses examples from real geoscience observations Homework problems at the end of chapters The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.
Author: Deepak K. Kanungo
Publisher: "O'Reilly Media, Inc."
ISBN: 1492097632
Category : Computers
Languages : en
Pages : 287
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Book Description
Whether based on academic theories or discovered empirically by humans and machines, all financial models are at the mercy of modeling errors that can be mitigated but not eliminated. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory. Unlike conventional AI systems, probabilistic machine learning (ML) systems treat errors and uncertainties as features, not bugs. They quantify uncertainty generated from inexact model inputs and outputs as probability distributions, not point estimates. Most importantly, these systems are capable of forewarning us when their inferences and predictions are no longer useful in the current market environment. These ML systems provide realistic support for financial decision-making and risk management in the face of uncertainty and incomplete information. Probabilistic ML is the next generation ML framework and technology for AI-powered financial and investing systems for many reasons. They are generative ensembles that learn continually from small and noisy financial datasets while seamlessly enabling probabilistic inference, prediction and counterfactual reasoning. By moving away from flawed statistical methodologies (and a restrictive conventional view of probability as a limiting frequency), you can embrace an intuitive view of probability as logic within an axiomatic statistical framework that comprehensively and successfully quantifies uncertainty. This book shows you why and how to make that transition.
