Matematica di base per l'economia e l'azienda. Richiami di teoria, esercizi e applicazioni PDF Download
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Author: Alberto Cambini
Publisher:
ISBN: 9788892140349
Category : Business & Economics
Languages : it
Pages : 438
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Book Description
Author: Alberto Cambini
Publisher:
ISBN: 9788892140349
Category : Business & Economics
Languages : it
Pages : 438
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Book Description
Author: Marco Castellani
Publisher: Società Editrice Esculapio
ISBN: 8835816505
Category : Mathematics
Languages : it
Pages : 455
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Book Description
Questo libro è pensato per studenti della Facoltà di Economia, che seguo- no corsi di matematica di base (di solito denominati Matematica Generale) nell'ottica del nuovo ordinamento. Gli esercizi sono raggruppati per argomento e gli argomenti presentati nell'ordine in cui vengono usualmente affrontati nel corso (Preliminari, Successioni e serie, Funzioni di una variabile, Integrali, Algebra lineare, Funzioni di più variabili) Nello scrivere le soluzioni degli esercizi abbiamo cercato di: raccontare come intuisce e logicamente procede chi cerca la soluzione del problema; mettere in evidenza, sulla base della nostra esperienza, le difficoltà che usualmente scoraggiano lo studente e le trappole che lo inducono a sbagliare strada.
Author: Fabrizio Durante
Publisher: CRC Press
ISBN: 1439884447
Category : Mathematics
Languages : en
Pages : 331
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Book Description
This book gives readers the solid and formal mathematical background to apply copulas to a range of mathematical areas, such as probability, real analysis, measure theory, and algebraic structures. The authors prove the results as simply as possible and unify various methods scattered throughout the literature in common frameworks, including shuffles of copulas. They also explore connections with related functions, such as quasi-copulas, semi-copulas, and triangular norms, that have been used in different domains.
Author: Harry Joe
Publisher: World Scientific
ISBN: 981429988X
Category : Business & Economics
Languages : en
Pages : 370
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Book Description
1. Introduction : Dependence modeling / D. Kurowicka -- 2. Multivariate copulae / M. Fischer -- 3. Vines arise / R.M. Cooke, H. Joe and K. Aas -- 4. Sampling count variables with specified Pearson correlation : A comparison between a naive and a C-vine sampling approach / V. Erhardt and C. Czado -- 5. Micro correlations and tail dependence / R.M. Cooke, C. Kousky and H. Joe -- 6. The Copula information criterion and Its implications for the maximum pseudo-likelihood estimator / S. Gronneberg -- 7. Dependence comparisons of vine copulae with four or more variables / H. Joe -- 8. Tail dependence in vine copulae / H. Joe -- 9. Counting vines / O. Morales-Napoles -- 10. Regular vines : Generation algorithm and number of equivalence classes / H. Joe, R.M. Cooke and D. Kurowicka -- 11. Optimal truncation of vines / D. Kurowicka -- 12. Bayesian inference for D-vines : Estimation and model selection / C. Czado and A. Min -- 13. Analysis of Australian electricity loads using joint Bayesian inference of D-vines with autoregressive margins / C. Czado, F. Gartner and A. Min -- 14. Non-parametric Bayesian belief nets versus vines / A. Hanea -- 15. Modeling dependence between financial returns using pair-copula constructions / K. Aas and D. Berg -- 16. Dynamic D-vine model / A. Heinen and A. Valdesogo -- 17. Summary and future directions / D. Kurowicka
Author: Gabe Zichermann
Publisher: John Wiley & Sons
ISBN: 0470562234
Category : Business & Economics
Languages : en
Pages : 240
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Book Description
Harness the power of games to create extraordinary customer engagement with Game-Based Marketing. Gamification is revolutionizing the web and mobile apps. Innovative startups like Foursquare and Swoopo, growth companies like Gilt and Groupon and established brands like United Airlines and Nike all agree: the most powerful way to create and engage a vibrant community is with game mechanics. By leveraging points, levels, badges, challenges, rewards and leaderboards – these innovators are dramatically lowering their customer acquisition costs, increasing engagement and building sustainable, viral communities. Game-Based Marketing unlocks the design secrets of mega-successful games like Zynga’s Farmville, World of Warcraft, Bejeweled and Project Runway to give you the power to create winning game-like experiences on your site/apps. Avoid obvious pitfalls and learn from the masters with key insights, such as: Why good leaderboards shouldn’t feature the Top 10 players. Most games are played as an excuse to socialize, not to achieve. Status is worth 10x more than cash to most consumers. Badges are not enough: but they are important. You don’t need to offer real-world prizing to run a blockbuster sweepstakes. And learn even more: How to architect a point system that works Designing the funware loop: the basics of points, badges, levels, leaderboards and challenges Maximizing the value and impact of badges Future-proofing your design Challenging users without distraction Based on the groundbreaking work of game expert and successful entrepreneur Gabe Zichermann, Game-Based Marketing brings together the game mechanics expertise of a decade’s worth of research. Driven equally by big companies, startups, 40-year-old men and tween girls, the world is becoming increasingly more fun. Are you ready to play?
Author: Steven R. Dunbar
Publisher: American Mathematical Soc.
ISBN: 1470448394
Category : Business & Economics
Languages : en
Pages : 250
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Book Description
Mathematical Modeling in Economics and Finance is designed as a textbook for an upper-division course on modeling in the economic sciences. The emphasis throughout is on the modeling process including post-modeling analysis and criticism. It is a textbook on modeling that happens to focus on financial instruments for the management of economic risk. The book combines a study of mathematical modeling with exposure to the tools of probability theory, difference and differential equations, numerical simulation, data analysis, and mathematical analysis. Students taking a course from Mathematical Modeling in Economics and Finance will come to understand some basic stochastic processes and the solutions to stochastic differential equations. They will understand how to use those tools to model the management of financial risk. They will gain a deep appreciation for the modeling process and learn methods of testing and evaluation driven by data. The reader of this book will be successfully positioned for an entry-level position in the financial services industry or for beginning graduate study in finance, economics, or actuarial science. The exposition in Mathematical Modeling in Economics and Finance is crystal clear and very student-friendly. The many exercises are extremely well designed. Steven Dunbar is Professor Emeritus of Mathematics at the University of Nebraska and he has won both university-wide and MAA prizes for extraordinary teaching. Dunbar served as Director of the MAA's American Mathematics Competitions from 2004 until 2015. His ability to communicate mathematics is on full display in this approachable, innovative text.
Author: P. Parrini
Publisher: Springer Science & Business Media
ISBN: 0792349393
Category : Philosophy
Languages : en
Pages : 246
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Book Description
XIV The stability of a philosophical construction will depend not only upon the solidity of the blocks, of the pillars and architraves that make it up, but also upon the way in which all these parts are connected. Of course, it will not be possible to argue for every single part of a philosophical building: to do so would mean to embark in a virtually endless enterprise. Accordingly, some of the parts of a philosophical building will have to be taken from the literature on the subject as 'ready made' or 'semi-finished' elements, while others will be argued for in the course of building. This is what happened in my work too. In some cases (for in stance, in the case of epistemic relativism), my concern was to illustrate theses which I believed to be sufficiently consolidated, rather than to ar gue for them. In other cases - where I was directly engaged in building the theory that I want to fonnulate - I did exactly the opposite. This is what I have tried to achieve, for example, for those proper architraves of my construction, viz. the connection between scepticism and metaphysi cal realism. and the thesis of the nonnative value of the fundamental epistemological notions (truth, objectivity, and rationality).
Author: Brad Boehmke
Publisher: CRC Press
ISBN: 1000730433
Category : Business & Economics
Languages : en
Pages : 374
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Book Description
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.
Author: James J. Heckman
Publisher: University of Chicago Press
ISBN: 022610012X
Category : Business & Economics
Languages : en
Pages : 469
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Book Description
Achievement tests play an important role in modern societies. They are used to evaluate schools, to assign students to tracks within schools, and to identify weaknesses in student knowledge. The GED is an achievement test used to grant the status of high school graduate to anyone who passes it. GED recipients currently account for 12 percent of all high school credentials issued each year in the United States. But do achievement tests predict success in life? The Myth of Achievement Tests shows that achievement tests like the GED fail to measure important life skills. James J. Heckman, John Eric Humphries, Tim Kautz, and a group of scholars offer an in-depth exploration of how the GED came to be used throughout the United States and why our reliance on it is dangerous. Drawing on decades of research, the authors show that, while GED recipients score as well on achievement tests as high school graduates who do not enroll in college, high school graduates vastly outperform GED recipients in terms of their earnings, employment opportunities, educational attainment, and health. The authors show that the differences in success between GED recipients and high school graduates are driven by character skills. Achievement tests like the GED do not adequately capture character skills like conscientiousness, perseverance, sociability, and curiosity. These skills are important in predicting a variety of life outcomes. They can be measured, and they can be taught. Using the GED as a case study, the authors explore what achievement tests miss and show the dangers of an educational system based on them. They call for a return to an emphasis on character in our schools, our systems of accountability, and our national dialogue. Contributors Eric Grodsky, University of Wisconsin–Madison Andrew Halpern-Manners, Indiana University Bloomington Paul A. LaFontaine, Federal Communications Commission Janice H. Laurence, Temple University Lois M. Quinn, University of Wisconsin–Milwaukee Pedro L. Rodríguez, Institute of Advanced Studies in Administration John Robert Warren, University of Minnesota, Twin Cities
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309055989
Category : Social Science
Languages : en
Pages : 152
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Book Description
There has been much polemic about affluence, consumption, and the global environment. For some observers, "consumption" is at the root of global environmental threats: wealthy individuals and societies use far too much of the earth's resource base and should scale back their appetites to preserve the environment for future generations and allow a decent life for the rest of the world. Other observers see affluence as the way to escape environmental threats: economic development increases public pressure for environmental protection and makes capital available for environmentally benign technologies. The arguments are fed by conflicting beliefs, values, hopes, and fearsâ€"but surprisingly little scientific analysis. This book demonstrates that the relationship of consumption to the environment needs careful analysis by environmental and social scientists and conveys some of the excitement of treating the issue scientifically. It poses the key empirical questions: Which kinds of consumption are environmentally significant? Which actors are responsible for that consumption? What forces cause or explain environmentally significant consumption? How can it be changed? The book presents studies that open up important issues for empirical study: Are there any signs of saturation in the demand for travel in wealthy countries? What is the relationship between environmental consumption and human well-being? To what extent do people in developing countries emulate American consumption styles? The book also suggests broad strategies that scientists and research sponsors can use to better inform future debates about the environment, development, and consumption.
