An Introduction To Probability Theory And Its Applications 2nd Ed Vol 2

AN INTRODUCTION TO PROBABILITY THEORY AND ITS APPLICATIONS  2ND ED  VOL 2 PDF
Author: Willliam Feller
Publisher: John Wiley & Sons
ISBN: 9788126518067
Size: 75.68 MB
Format: PDF, ePub, Docs
Category :
Languages : en
Pages : 700
View: 4688

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An Introduction To Probability Theory And Its Applications 2nd Ed Vol 2

by Willliam Feller, An Introduction To Probability Theory And Its Applications 2nd Ed Vol 2 Books available in PDF, EPUB, Mobi Format. Download An Introduction To Probability Theory And Its Applications 2nd Ed Vol 2 books, · The Exponential and the Uniform Densities· Special Densities. Randomization· Densities in Higher Dimensions. Normal Densities and Processes· Probability Measures and Spaces· Probability Distributions in Rr· A Survey of Some Important Distributions and Processes· Laws of Large Numbers. Applications in Analysis· The Basic Limit Theorems· Infinitely Divisible Distributions and Semi-Groups· Markov Processes and Semi-Groups· Renewal Theory· Random Walks in R1· Laplace Transforms. Tauberian Theorems. Resolvents· Applications of Laplace Transforms· Characteristic Functions· Expansions Related to the Central Limit Theorem,· Infinitely Divisible Distributions· Applications of Fourier Methods to Random Walks· Harmonic Analysis


An Introduction To Probability Theory And Its Applications

An Introduction to Probability Theory and Its Applications PDF
Author: Vilim Feller
Publisher:
ISBN:
Size: 68.14 MB
Format: PDF, ePub
Category : Probabilities
Languages : en
Pages : 669
View: 3322

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An Introduction To Probability Theory And Its Applications

by Vilim Feller, An Introduction To Probability Theory And Its Applications Books available in PDF, EPUB, Mobi Format. Download An Introduction To Probability Theory And Its Applications books, The classic text for understanding complex statistical probability An Introduction to Probability Theory and Its Applications offers comprehensive explanations to complex statistical problems. Delving deep into densities and distributions while relating critical formulas, processes and approaches, this rigorous text provides a solid grounding in probability with practice problems throughout. Heavy on application without sacrificing theory, the discussion takes the time to explain difficult topics and how to use them. This new second edition includes new material related to the substitution of probabilistic arguments for combinatorial artifices as well as new sections on branching processes, Markov chains, and the DeMoivre-Laplace theorem.


                                PDF
Author: ميشيل فوكو
Publisher: Al Manhal
ISBN:
Size: 74.24 MB
Format: PDF
Category : Social Science
Languages : ar
Pages : 424
View: 3223

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by ميشيل فوكو, Books available in PDF, EPUB, Mobi Format. Download books, يعتبر كتاب (الكلمات والأشياء) ليس أهم ما كتب ميشيل فوكو وعبر عن فلسفته فحسب، ولكنه كذلك أفضل شاهد على قدرة العقل في إعادة اكتشاف أنظمته المعرفية، ومراجعتها لأول مرة في تاريخ الفلسفة الحديثة خارج الأطر الإيديولوجية التي اعتادت أن تقنعها وتستخدمها. وهو الكتاب الذي يشكل في تحولات الفكر الغربي الراهنة مرجعًا أساسيًّا لفلسفة الحداثة وعَقْلنة قطائعها التاريخية الرئيسية، وصولًا إلى ما يتجاوزها هي بالذات نحو ما يسمى اليوم بالحداثة البعدية، أو بما بعد الحداثة. إن ترجمة هذا الكتاب إلى العربية في حد ذاته، يمد الثقافة العربية بمفاتيح لكشف أسرار العقل الغربي، ومنعطفات قطائعه الرئيسية التي شكلت السر الأعمق لما يُسمى بمعجزة التفوق الغربي. ودراسة العقل لوسائله المعرفية، وتقييمها، فضلًا عن كونها امتياز الحضارة الأعلى وشاهدَها الأمثل على حيويتها وقدرتها على الاحتفاظ بقدرات النهوض وتجديدها. فإنها في الوقت ذاته تجعل من الحداثة، ليس مجرد حالة تأريخية طارئة، بقدر ما هي كينونة مستمرة، ومفاجئة لوعودها بالذات. ترجمة فوكو إلى العربية مساهمة صعبة في تغيير مصطلح القراءة والكتابة، وآليات المعرفة العلمية الشائعة، كما فعل كتاب (الكلمات والأشياء) عند ظهوره في لغته الأصلية. والجهد الذي يتطلبه فهمه ومؤالفته، جهد حقيقي في تغيير عادات العقل العربي. وشروع في ممارسة ما هو الأصعب والحقيقي في مصطلح الحداثة، وتحويله من شعار شبه سياسي، إلى ممارسة العقل ذاته.


Probability Theory

Probability Theory PDF
Author: Alexandr A. Borovkov
Publisher: Springer Science & Business Media
ISBN: 1447152018
Size: 70.72 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 733
View: 5765

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Probability Theory

by Alexandr A. Borovkov, Probability Theory Books available in PDF, EPUB, Mobi Format. Download Probability Theory books, This self-contained, comprehensive book tackles the principal problems and advanced questions of probability theory and random processes in 22 chapters, presented in a logical order but also suitable for dipping into. They include both classical and more recent results, such as large deviations theory, factorization identities, information theory, stochastic recursive sequences. The book is further distinguished by the inclusion of clear and illustrative proofs of the fundamental results that comprise many methodological improvements aimed at simplifying the arguments and making them more transparent. The importance of the Russian school in the development of probability theory has long been recognized. This book is the translation of the fifth edition of the highly successful Russian textbook. This edition includes a number of new sections, such as a new chapter on large deviation theory for random walks, which are of both theoretical and applied interest. The frequent references to Russian literature throughout this work lend a fresh dimension and make it an invaluable source of reference for Western researchers and advanced students in probability related subjects. Probability Theory will be of interest to both advanced undergraduate and graduate students studying probability theory and its applications. It can serve as a basis for several one-semester courses on probability theory and random processes as well as self-study.


Loss Models

Loss Models PDF
Author: Stuart A. Klugman
Publisher: John Wiley & Sons
ISBN: 1118573749
Size: 80.62 MB
Format: PDF, Kindle
Category : Business & Economics
Languages : en
Pages : 368
View: 2268

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Loss Models

by Stuart A. Klugman, Loss Models Books available in PDF, EPUB, Mobi Format. Download Loss Models books, An essential resource for constructing and analyzing advanced actuarial models Loss Models: Further Topics presents extended coverage of modeling through the use of tools related to risk theory, loss distributions, and survival models. The book uses these methods to construct and evaluate actuarial models in the fields of insurance and business. Providing an advanced study of actuarial methods, the book features extended discussions of risk modeling and risk measures, including Tail-Value-at-Risk. Loss Models: Further Topics contains additional material to accompany the Fourth Edition of Loss Models: From Data to Decisions, such as: Extreme value distributions Coxian and related distributions Mixed Erlang distributions Computational and analytical methods for aggregate claim models Counting processes Compound distributions with time-dependent claim amounts Copula models Continuous time ruin models Interpolation and smoothing The book is an essential reference for practicing actuaries and actuarial researchers who want to go beyond the material required for actuarial qualification. Loss Models: Further Topics is also an excellent resource for graduate students in the actuarial field.


Monte Carlo Statistical Methods

Monte Carlo Statistical Methods PDF
Author: Christian Robert
Publisher: Springer Science & Business Media
ISBN: 1475741456
Size: 40.63 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 649
View: 1379

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Monte Carlo Statistical Methods

by Christian Robert, Monte Carlo Statistical Methods Books available in PDF, EPUB, Mobi Format. Download Monte Carlo Statistical Methods books, We have sold 4300 copies worldwide of the first edition (1999). This new edition contains five completely new chapters covering new developments.


Modeling Techniques In Predictive Analytics With Python And R

Modeling Techniques in Predictive Analytics with Python and R PDF
Author: Thomas W. Miller
Publisher: FT Press
ISBN: 013389214X
Size: 23.80 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 448
View: 3786

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Modeling Techniques In Predictive Analytics With Python And R

by Thomas W. Miller, Modeling Techniques In Predictive Analytics With Python And R Books available in PDF, EPUB, Mobi Format. Download Modeling Techniques In Predictive Analytics With Python And R books, Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more


Reliability Data Banks

Reliability Data Banks PDF
Author: A. G. Cannon
Publisher: Springer Science & Business Media
ISBN: 9401138583
Size: 60.57 MB
Format: PDF, Kindle
Category : Juvenile Nonfiction
Languages : en
Pages : 302
View: 6962

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Reliability Data Banks

by A. G. Cannon, Reliability Data Banks Books available in PDF, EPUB, Mobi Format. Download Reliability Data Banks books,


Modeling Techniques In Predictive Analytics

Modeling Techniques in Predictive Analytics PDF
Author: Thomas W. Miller
Publisher: FT Press
ISBN: 0133886190
Size: 38.66 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 384
View: 7437

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Modeling Techniques In Predictive Analytics

by Thomas W. Miller, Modeling Techniques In Predictive Analytics Books available in PDF, EPUB, Mobi Format. Download Modeling Techniques In Predictive Analytics books, To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. Gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more