Tables Of N And Sigma N 1 2 For The First Thousand Values Of N

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Elementary Number Theory

Author : Charles Vanden Eynden
Publisher : Waveland Press
ISBN 13 : 1478639156
Total Pages : 292 pages
Book Rating : 4.4/5 (786 download)

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Book Synopsis Elementary Number Theory by : Charles Vanden Eynden

Download or read book Elementary Number Theory written by Charles Vanden Eynden and published by Waveland Press. This book was released on 2006-02-15 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical and versatile text evolved from the author’s years of teaching experience and the input of his students. Vanden Eynden strives to alleviate the anxiety that many students experience when approaching any proof-oriented area of mathematics, including number theory. His informal yet straightforward writing style explains the ideas behind the process of proof construction, showing that mathematicians develop theorems and proofs from trial and error and evolutionary improvement, not spontaneous insight. Furthermore, the book includes more computational problems than most other number theory texts to build students’ familiarity and confidence with the theory behind the material. The author has devised the content, organization, and writing style so that information is accessible, students can gain self-confidence with respect to mathematics, and the book can be used in a wide range of courses—from those that emphasize history and type A problems to those that are proof oriented.

Implementing Six Sigma

Author : Forrest W. Breyfogle, III
Publisher : John Wiley & Sons
ISBN 13 : 0471265721
Total Pages : 1235 pages
Book Rating : 4.4/5 (712 download)

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Book Synopsis Implementing Six Sigma by : Forrest W. Breyfogle, III

Download or read book Implementing Six Sigma written by Forrest W. Breyfogle, III and published by John Wiley & Sons. This book was released on 2003-04-07 with total page 1235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Das bewährte Handbuch zum Statistiktool Six Sigma - jetzt in neuer, aktualisierter Auflage! - besprochen werden täglich benötigte Verfahren und deren Implementation - erweiterte Behandlung u.a. des Benchmarkings - mit vielen praxisnahen Übungen - enthält Pläne, Checklisten und Übersichten häufig auftretender Fehler

Risk Modeling, Assessment, and Management

Author : Yacov Y. Haimes
Publisher : John Wiley & Sons
ISBN 13 : 111901798X
Total Pages : 714 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Risk Modeling, Assessment, and Management by : Yacov Y. Haimes

Download or read book Risk Modeling, Assessment, and Management written by Yacov Y. Haimes and published by John Wiley & Sons. This book was released on 2015-08-03 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents systems-based theory, methodology, and applications in risk modeling, assessment, and management This book examines risk analysis, focusing on quantifying risk and constructing probabilities for real-world decision-making, including engineering, design, technology, institutions, organizations, and policy. The author presents fundamental concepts (hierarchical holographic modeling; state space; decision analysis; multi-objective trade-off analysis) as well as advanced material (extreme events and the partitioned multi-objective risk method; multi-objective decision trees; multi-objective risk impact analysis method; guiding principles in risk analysis); avoids higher mathematics whenever possible; and reinforces the material with examples and case studies. The book will be used in systems engineering, enterprise risk management, engineering management, industrial engineering, civil engineering, and operations research. The fourth edition of Risk Modeling, Assessment, and Management features: Expanded chapters on systems-based guiding principles for risk modeling, planning, assessment, management, and communication; modeling interdependent and interconnected complex systems of systems with phantom system models; and hierarchical holographic modeling An expanded appendix including a Bayesian analysis for the prediction of chemical carcinogenicity, and the Farmer’s Dilemma formulated and solved using a deterministic linear model Updated case studies including a new case study on sequential Pareto-optimal decisions for emergent complex systems of systems A new companion website with over 200 solved exercises that feature risk analysis theories, methodologies, and application Risk Modeling, Assessment, and Management, Fourth Edition, is written for both undergraduate and graduate students in systems engineering and systems management courses. The text also serves as a resource for academic, industry, and government professionals in the fields of homeland and cyber security, healthcare, physical infrastructure systems, engineering, business, and more.

Introduction to Engineering Statistics and Six Sigma

Author : Theodore T. Allen
Publisher : Springer Science & Business Media
ISBN 13 : 1846282004
Total Pages : 531 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Introduction to Engineering Statistics and Six Sigma by : Theodore T. Allen

Download or read book Introduction to Engineering Statistics and Six Sigma written by Theodore T. Allen and published by Springer Science & Business Media. This book was released on 2006-03-21 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains precise descriptions of all of the many related six sigma methods. It also includes many case studies that detail how these methods have been applied in engineering and business to achieve millions of dollars of savings. This book will help readers to determine exactly which methods to apply in which situations and to predict how and when the methods might not be effective. Illustrative examples are provided for all the methods presented and exercises based on the case studies help build associations between techniques and industrial problems.

Handbook of Discrete and Combinatorial Mathematics

Author : Kenneth H. Rosen
Publisher : CRC Press
ISBN 13 : 9781439832905
Total Pages : 1252 pages
Book Rating : 4.8/5 (329 download)

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Book Synopsis Handbook of Discrete and Combinatorial Mathematics by : Kenneth H. Rosen

Download or read book Handbook of Discrete and Combinatorial Mathematics written by Kenneth H. Rosen and published by CRC Press. This book was released on 1999-09-28 with total page 1252 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of discrete and combinatorial mathematics continues to increase as the range of applications to computer science, electrical engineering, and the biological sciences grows dramatically. Providing a ready reference for practitioners in the field, the Handbook of Discrete and Combinatorial Mathematics, Second Edition presents additional material on Google's matrix, random graphs, geometric graphs, computational topology, and other key topics. New chapters highlight essential background information on bioinformatics and computational geometry. Each chapter includes a glossary, definitions, facts, examples, algorithms, major applications, and references.

Bayesian Methods in Health Economics

Author : Gianluca Baio
Publisher : CRC Press
ISBN 13 : 1439895554
Total Pages : 246 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Bayesian Methods in Health Economics by : Gianluca Baio

Download or read book Bayesian Methods in Health Economics written by Gianluca Baio and published by CRC Press. This book was released on 2012-11-12 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health economics is concerned with the study of the cost-effectiveness of health care interventions. This book provides an overview of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it presents Bayesian statistics using accessible mathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a statistical viewpoint, and Bayesian computation, notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness analyses using individual data from clinical trials, evidence synthesis and hierarchical models and Markov models. The text uses WinBUGS and JAGS with datasets and code available online.

Statistical Computing with R, Second Edition

Author : Maria L. Rizzo
Publisher : CRC Press
ISBN 13 : 0429527764
Total Pages : 380 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Statistical Computing with R, Second Edition by : Maria L. Rizzo

Download or read book Statistical Computing with R, Second Edition written by Maria L. Rizzo and published by CRC Press. This book was released on 2019-02-21 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional core material of computational statistics, with an

Introduction to Engineering Statistics and Lean Sigma

Author : Theodore T. Allen
Publisher : Springer Science & Business Media
ISBN 13 : 1849960003
Total Pages : 573 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Introduction to Engineering Statistics and Lean Sigma by : Theodore T. Allen

Download or read book Introduction to Engineering Statistics and Lean Sigma written by Theodore T. Allen and published by Springer Science & Business Media. This book was released on 2010-04-23 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.

Financial Modelling

Author : Joerg Kienitz
Publisher : John Wiley & Sons
ISBN 13 : 0470744898
Total Pages : 736 pages
Book Rating : 4.4/5 (77 download)

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Book Synopsis Financial Modelling by : Joerg Kienitz

Download or read book Financial Modelling written by Joerg Kienitz and published by John Wiley & Sons. This book was released on 2013-02-18 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial modelling Theory, Implementation and Practice with MATLAB Source Jörg Kienitz and Daniel Wetterau Financial Modelling - Theory, Implementation and Practice with MATLAB Source is a unique combination of quantitative techniques, the application to financial problems and programming using Matlab. The book enables the reader to model, design and implement a wide range of financial models for derivatives pricing and asset allocation, providing practitioners with complete financial modelling workflow, from model choice, deriving prices and Greeks using (semi-) analytic and simulation techniques, and calibration even for exotic options. The book is split into three parts. The first part considers financial markets in general and looks at the complex models needed to handle observed structures, reviewing models based on diffusions including stochastic-local volatility models and (pure) jump processes. It shows the possible risk-neutral densities, implied volatility surfaces, option pricing and typical paths for a variety of models including SABR, Heston, Bates, Bates-Hull-White, Displaced-Heston, or stochastic volatility versions of Variance Gamma, respectively Normal Inverse Gaussian models and finally, multi-dimensional models. The stochastic-local-volatility Libor market model with time-dependent parameters is considered and as an application how to price and risk-manage CMS spread products is demonstrated. The second part of the book deals with numerical methods which enables the reader to use the models of the first part for pricing and risk management, covering methods based on direct integration and Fourier transforms, and detailing the implementation of the COS, CONV, Carr-Madan method or Fourier-Space-Time Stepping. This is applied to pricing of European, Bermudan and exotic options as well as the calculation of the Greeks. The Monte Carlo simulation technique is outlined and bridge sampling is discussed in a Gaussian setting and for Lévy processes. Computation of Greeks is covered using likelihood ratio methods and adjoint techniques. A chapter on state-of-the-art optimization algorithms rounds up the toolkit for applying advanced mathematical models to financial problems and the last chapter in this section of the book also serves as an introduction to model risk. The third part is devoted to the usage of Matlab, introducing the software package by describing the basic functions applied for financial engineering. The programming is approached from an object-oriented perspective with examples to propose a framework for calibration, hedging and the adjoint method for calculating Greeks in a Libor market model. Source code used for producing the results and analysing the models is provided on the author's dedicated website, http://www.mathworks.de/matlabcentral/fileexchange/authors/246981.

Sampling and Data Reporting Considerations for Airborne Particulate Radioactivity

Author : Gregory G. Eadie
Publisher :
ISBN 13 :
Total Pages : 48 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Sampling and Data Reporting Considerations for Airborne Particulate Radioactivity by : Gregory G. Eadie

Download or read book Sampling and Data Reporting Considerations for Airborne Particulate Radioactivity written by Gregory G. Eadie and published by . This book was released on 1976 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistics and Data Science

Author : Hien Nguyen
Publisher : Springer Nature
ISBN 13 : 9811519609
Total Pages : 271 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Statistics and Data Science by : Hien Nguyen

Download or read book Statistics and Data Science written by Hien Nguyen and published by Springer Nature. This book was released on 2020-01-03 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Research School on Statistics and Data Science, RSSDS 2019, held in Melbourne, VIC, Australia, in July 2019. The 11 papers presented in this book were carefully reviewed and selected from 23 submissions. The volume also contains 7 invited talks. The workshop brought together academics, researchers, and industry practitioners of statistics and data science, to discuss numerous advances in the disciplines and their impact on the sciences and society. The topics covered are data analysis, data science, data mining, data visualization, bioinformatics, machine learning, neural networks, statistics, and probability.

Canadian Financial Management

Author : Brigham
Publisher :
ISBN 13 : 9780039229481
Total Pages : 1008 pages
Book Rating : 4.2/5 (294 download)

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Book Synopsis Canadian Financial Management by : Brigham

Download or read book Canadian Financial Management written by Brigham and published by . This book was released on 1994 with total page 1008 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introductory Applied Statistics

Author : Bruce Blaine
Publisher : Springer Nature
ISBN 13 : 3031277414
Total Pages : 197 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Introductory Applied Statistics by : Bruce Blaine

Download or read book Introductory Applied Statistics written by Bruce Blaine and published by Springer Nature. This book was released on 2023-05-05 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an introduction to applied statistics through data analysis, integrating statistical computing methods. It covers robust and non-robust descriptive statistics used in each of four bivariate statistical models that are commonly used in research: ANOVA, proportions, regression, and logistic. The text teaches statistical inference principles using resampling methods (such as randomization and bootstrapping), covering methods for hypothesis testing and parameter estimation. These methods are applied to each statistical model introduced in preceding chapters. Data analytic examples are used to teach statistical concepts throughout, and students are introduced to the R packages and functions required for basic data analysis in each of the four models. The text also includes introductory guidance to the fundamentals of data wrangling, as well as examples of write-ups so that students can learn how to communicate findings. Each chapter includes problems for practice or assessment. Supplemental instructional videos are also available as an additional aid to instructors, or as a general resource to students. This book is intended for an introductory or basic statistics course with an applied focus, or an introductory analytics course, at the undergraduate level in a two-year or four-year institution. This can be used for students with a variety of disciplinary backgrounds, from business, to the social sciences, to medicine. No sophisticated mathematical background is required.

Integrated Population Models

Author : Michael Schaub
Publisher : Academic Press
ISBN 13 : 0128209151
Total Pages : 640 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Integrated Population Models by : Michael Schaub

Download or read book Integrated Population Models written by Michael Schaub and published by Academic Press. This book was released on 2021-11-12 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis. Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields. The text is ideal for self-study and advanced graduate-level courses. - Offers practical and accessible ecological applications of IPMs (integrated population models) - Provides full documentation of analyzed code in the Bayesian framework - Written and structured for an easy approach to the subject, especially for non-statisticians

Statistical Theory and Inference

Author : David J. Olive
Publisher : Springer
ISBN 13 : 3319049720
Total Pages : 438 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Statistical Theory and Inference by : David J. Olive

Download or read book Statistical Theory and Inference written by David J. Olive and published by Springer. This book was released on 2014-05-07 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is for a one semester graduate course in statistical theory and covers minimal and complete sufficient statistics, maximum likelihood estimators, method of moments, bias and mean square error, uniform minimum variance estimators and the Cramer-Rao lower bound, an introduction to large sample theory, likelihood ratio tests and uniformly most powerful tests and the Neyman Pearson Lemma. A major goal of this text is to make these topics much more accessible to students by using the theory of exponential families. Exponential families, indicator functions and the support of the distribution are used throughout the text to simplify the theory. More than 50 ``brand name" distributions are used to illustrate the theory with many examples of exponential families, maximum likelihood estimators and uniformly minimum variance unbiased estimators. There are many homework problems with over 30 pages of solutions.

Epidemiology, Biostatistics, and Preventive Medicine

Author : James F. Jekel
Publisher : Elsevier Health Sciences
ISBN 13 : 141603496X
Total Pages : 436 pages
Book Rating : 4.4/5 (16 download)

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Book Synopsis Epidemiology, Biostatistics, and Preventive Medicine by : James F. Jekel

Download or read book Epidemiology, Biostatistics, and Preventive Medicine written by James F. Jekel and published by Elsevier Health Sciences. This book was released on 2007-01-01 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: You'll find the latest on healthcare policy and financing, infectious diseases, chronic disease, and disease prevention technology.

Numerical Methods for Nonlinear Engineering Models

Author : John R. Hauser
Publisher : Springer Science & Business Media
ISBN 13 : 1402099207
Total Pages : 1013 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Numerical Methods for Nonlinear Engineering Models by : John R. Hauser

Download or read book Numerical Methods for Nonlinear Engineering Models written by John R. Hauser and published by Springer Science & Business Media. This book was released on 2009-03-24 with total page 1013 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many books on the use of numerical methods for solving engineering problems and for modeling of engineering artifacts. In addition there are many styles of such presentations ranging from books with a major emphasis on theory to books with an emphasis on applications. The purpose of this book is hopefully to present a somewhat different approach to the use of numerical methods for - gineering applications. Engineering models are in general nonlinear models where the response of some appropriate engineering variable depends in a nonlinear manner on the - plication of some independent parameter. It is certainly true that for many types of engineering models it is sufficient to approximate the real physical world by some linear model. However, when engineering environments are pushed to - treme conditions, nonlinear effects are always encountered. It is also such - treme conditions that are of major importance in determining the reliability or failure limits of engineering systems. Hence it is essential than engineers have a toolbox of modeling techniques that can be used to model nonlinear engineering systems. Such a set of basic numerical methods is the topic of this book. For each subject area treated, nonlinear models are incorporated into the discussion from the very beginning and linear models are simply treated as special cases of more general nonlinear models. This is a basic and fundamental difference in this book from most books on numerical methods.