Probable Outcomes

Probable Outcomes

Author: Ed Easterling

Publisher:

Published: 2011-01

Total Pages: 256

ISBN-13: 9781879384828

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Probable outcomes continues the Crestmont Research tradition of extensive full-color charts and graphs that enable investors and advisors to differentiate between irrational hope and a rational view of the stock market. This book's empowering insights prepare you to take action during the current period of below -average returns. The unique combination of investment science and investment art explores the market from several perspectives and addresses the significant implications for a broad range of investors. Beyond concepts, Ed Easterling delivers a dramatic analysis of the likely course for the stock market over the 2010 decade. Investors and advisors will benefit from this timely outlook and its message of reasonable expectations and value-added investing. This essential resource offers a compelling understanding of the key fundamental principles that drive the stock market. Derived from years of meticulous research, Probably outcomes provides sensible conclusions that will guide your future investment choices and allow you to invest with confidence, whatever your financial strategy."--


Book Synopsis Probable Outcomes by : Ed Easterling

Download or read book Probable Outcomes written by Ed Easterling and published by . This book was released on 2011-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probable outcomes continues the Crestmont Research tradition of extensive full-color charts and graphs that enable investors and advisors to differentiate between irrational hope and a rational view of the stock market. This book's empowering insights prepare you to take action during the current period of below -average returns. The unique combination of investment science and investment art explores the market from several perspectives and addresses the significant implications for a broad range of investors. Beyond concepts, Ed Easterling delivers a dramatic analysis of the likely course for the stock market over the 2010 decade. Investors and advisors will benefit from this timely outlook and its message of reasonable expectations and value-added investing. This essential resource offers a compelling understanding of the key fundamental principles that drive the stock market. Derived from years of meticulous research, Probably outcomes provides sensible conclusions that will guide your future investment choices and allow you to invest with confidence, whatever your financial strategy."--

Preventing Medication Errors and Improving Drug Therapy Outcomes

Preventing Medication Errors and Improving Drug Therapy Outcomes

Author: Charles D. Hepler

Publisher: CRC Press

Published: 2003-02-25

Total Pages: 464

ISBN-13: 0203010736

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Read this book in order to learn: Why medicines often fail to produce the desired result and how such failures can be avoided How to think about drug product safety and effectiveness How the main participants in a medications use system can improve outcomes and how professional and personal values, attitudes, and ethical reasoning fit into


Book Synopsis Preventing Medication Errors and Improving Drug Therapy Outcomes by : Charles D. Hepler

Download or read book Preventing Medication Errors and Improving Drug Therapy Outcomes written by Charles D. Hepler and published by CRC Press. This book was released on 2003-02-25 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Read this book in order to learn: Why medicines often fail to produce the desired result and how such failures can be avoided How to think about drug product safety and effectiveness How the main participants in a medications use system can improve outcomes and how professional and personal values, attitudes, and ethical reasoning fit into

Core Statistical Concepts With Excel®

Core Statistical Concepts With Excel®

Author: Gregory J. Privitera

Publisher: SAGE Publications

Published: 2018-12-05

Total Pages: 326

ISBN-13: 1544309058

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Core Statistical Concepts with Excel® connects statistical concepts to applications with Excel® using practical research examples. The text jointly promotes an understanding of Excel® and a deeper knowledge of core concepts through practice. Authors Gregory J. Privitera and Darryl Mayeaux provide students step-by-step instruction for using Excel® software as a useful tool not only to manage but also analyze data—all through the use of key themes, features, and pedagogy: an emphasis on student learning, a focus on current research, and integration of Excel® to introduce statistical concepts.


Book Synopsis Core Statistical Concepts With Excel® by : Gregory J. Privitera

Download or read book Core Statistical Concepts With Excel® written by Gregory J. Privitera and published by SAGE Publications. This book was released on 2018-12-05 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Core Statistical Concepts with Excel® connects statistical concepts to applications with Excel® using practical research examples. The text jointly promotes an understanding of Excel® and a deeper knowledge of core concepts through practice. Authors Gregory J. Privitera and Darryl Mayeaux provide students step-by-step instruction for using Excel® software as a useful tool not only to manage but also analyze data—all through the use of key themes, features, and pedagogy: an emphasis on student learning, a focus on current research, and integration of Excel® to introduce statistical concepts.

Field Artillery Manual

Field Artillery Manual

Author: Arthur Riehl Wilson

Publisher:

Published: 1926

Total Pages: 1464

ISBN-13:

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Book Synopsis Field Artillery Manual by : Arthur Riehl Wilson

Download or read book Field Artillery Manual written by Arthur Riehl Wilson and published by . This book was released on 1926 with total page 1464 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Biostatistics with R

Biostatistics with R

Author: Babak Shahbaba

Publisher: Springer Science & Business Media

Published: 2011-12-15

Total Pages: 355

ISBN-13: 1461413028

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Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an introduction to Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.


Book Synopsis Biostatistics with R by : Babak Shahbaba

Download or read book Biostatistics with R written by Babak Shahbaba and published by Springer Science & Business Media. This book was released on 2011-12-15 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an introduction to Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.

Bayesian Multilevel Models for Repeated Measures Data

Bayesian Multilevel Models for Repeated Measures Data

Author: Santiago Barreda

Publisher: Taylor & Francis

Published: 2023-05-18

Total Pages: 485

ISBN-13: 1000869784

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This comprehensive book is an introduction to multilevel Bayesian models in R using brms and the Stan programming language. Featuring a series of fully worked analyses of repeated measures data, the focus is placed on active learning through the analyses of the progressively more complicated models presented throughout the book. In this book, the authors offer an introduction to statistics entirely focused on repeated measures data beginning with very simple two-group comparisons and ending with multinomial regression models with many ‘random effects’. Across 13 well-structured chapters, readers are provided with all the code necessary to run all the analyses and make all the plots in the book, as well as useful examples of how to interpret and write up their own analyses. This book provides an accessible introduction for readers in any field, with any level of statistical background. Senior undergraduate students, graduate students, and experienced researchers looking to ‘translate’ their skills with more traditional models to a Bayesian framework will benefit greatly from the lessons in this text.


Book Synopsis Bayesian Multilevel Models for Repeated Measures Data by : Santiago Barreda

Download or read book Bayesian Multilevel Models for Repeated Measures Data written by Santiago Barreda and published by Taylor & Francis. This book was released on 2023-05-18 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book is an introduction to multilevel Bayesian models in R using brms and the Stan programming language. Featuring a series of fully worked analyses of repeated measures data, the focus is placed on active learning through the analyses of the progressively more complicated models presented throughout the book. In this book, the authors offer an introduction to statistics entirely focused on repeated measures data beginning with very simple two-group comparisons and ending with multinomial regression models with many ‘random effects’. Across 13 well-structured chapters, readers are provided with all the code necessary to run all the analyses and make all the plots in the book, as well as useful examples of how to interpret and write up their own analyses. This book provides an accessible introduction for readers in any field, with any level of statistical background. Senior undergraduate students, graduate students, and experienced researchers looking to ‘translate’ their skills with more traditional models to a Bayesian framework will benefit greatly from the lessons in this text.

Patient Outcomes Research Teams (PORTS)

Patient Outcomes Research Teams (PORTS)

Author: Institute of Medicine

Publisher: National Academies Press

Published: 1991-02-01

Total Pages: 183

ISBN-13: 0309044820

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The new Agency for Health Care Policy and Research in the U.S. Public Health Service is funding a set of multidisciplinary groups called Patient Outcomes Research Teams (PORTs). Their purpose is to assess alternative treatments for medical conditions using a variety of outcome measures. In guiding insurance coverage, these PORTs are expected to wield considerable influence on medical practice and health policy. This book addresses possible threats to their credibility that might be based on real or apparent conflicts of interest, including both financial and other conflicts. It raises points to consider for the new agency, for PORTs and their institutions, for industry, for the health services research community, and for the U.S. Congress in avoiding and managing conflicts of interest.


Book Synopsis Patient Outcomes Research Teams (PORTS) by : Institute of Medicine

Download or read book Patient Outcomes Research Teams (PORTS) written by Institute of Medicine and published by National Academies Press. This book was released on 1991-02-01 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new Agency for Health Care Policy and Research in the U.S. Public Health Service is funding a set of multidisciplinary groups called Patient Outcomes Research Teams (PORTs). Their purpose is to assess alternative treatments for medical conditions using a variety of outcome measures. In guiding insurance coverage, these PORTs are expected to wield considerable influence on medical practice and health policy. This book addresses possible threats to their credibility that might be based on real or apparent conflicts of interest, including both financial and other conflicts. It raises points to consider for the new agency, for PORTs and their institutions, for industry, for the health services research community, and for the U.S. Congress in avoiding and managing conflicts of interest.

Probability and Mathematical Statistics: Theory, Applications, and Practice in R

Probability and Mathematical Statistics: Theory, Applications, and Practice in R

Author: Mary C. Meyer

Publisher: SIAM

Published: 2019-06-24

Total Pages: 707

ISBN-13: 1611975786

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This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data. Throughout the text, the R package is used to compute probabilities, check analytically computed answers, simulate probability distributions, illustrate answers with appropriate graphics, and help students develop intuition surrounding probability and statistics. Examples, demonstrations, and exercises in the R programming language serve to reinforce ideas and facilitate understanding and confidence. The book’s Chapter Highlights provide a summary of key concepts, while the examples utilizing R within the chapters are instructive and practical. Exercises that focus on real-world applications without sacrificing mathematical rigor are included, along with more than 200 figures that help clarify both concepts and applications. In addition, the book features two helpful appendices: annotated solutions to 700 exercises and a Review of Useful Math. Written for use in applied masters classes, Probability and Mathematical Statistics: Theory, Applications, and Practice in R is also suitable for advanced undergraduates and for self-study by applied mathematicians and statisticians and qualitatively inclined engineers and scientists.


Book Synopsis Probability and Mathematical Statistics: Theory, Applications, and Practice in R by : Mary C. Meyer

Download or read book Probability and Mathematical Statistics: Theory, Applications, and Practice in R written by Mary C. Meyer and published by SIAM. This book was released on 2019-06-24 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data. Throughout the text, the R package is used to compute probabilities, check analytically computed answers, simulate probability distributions, illustrate answers with appropriate graphics, and help students develop intuition surrounding probability and statistics. Examples, demonstrations, and exercises in the R programming language serve to reinforce ideas and facilitate understanding and confidence. The book’s Chapter Highlights provide a summary of key concepts, while the examples utilizing R within the chapters are instructive and practical. Exercises that focus on real-world applications without sacrificing mathematical rigor are included, along with more than 200 figures that help clarify both concepts and applications. In addition, the book features two helpful appendices: annotated solutions to 700 exercises and a Review of Useful Math. Written for use in applied masters classes, Probability and Mathematical Statistics: Theory, Applications, and Practice in R is also suitable for advanced undergraduates and for self-study by applied mathematicians and statisticians and qualitatively inclined engineers and scientists.

Statistical Methods of Analysis

Statistical Methods of Analysis

Author: Chin Long Chiang

Publisher: World Scientific

Published: 2003

Total Pages: 660

ISBN-13: 9789812383105

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This textbook is related to a course that the author taught for many years at University of California, Berkeley. The course was originally intended for graduate students in the biological and health sciences. But it attracted students from other departments on the campus as well. In order for the book to serve the interest of a larger audience, the author made revisions of the outline, added new topics, and provided more examples for illustrations wherever needed. This invaluable book systematically presents fundamental methods of statistical analysis: from basic probability and statistical distributions, through fundamental concepts of statistical inference, to a collection of methods of analysis useful for scientific research. The text is rich in tables, diagrams, and examples, in addition to theoretical justification of the methods of analysis introduced. Each chapter has a section entitled "Exercises and Problems, " to accompaning the text. There are altogether about 300 exercises, whoseanswers are given. A section entitled "Proof of the Results in This Chapter" in each chapter provides interested readers with material for further study.


Book Synopsis Statistical Methods of Analysis by : Chin Long Chiang

Download or read book Statistical Methods of Analysis written by Chin Long Chiang and published by World Scientific. This book was released on 2003 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is related to a course that the author taught for many years at University of California, Berkeley. The course was originally intended for graduate students in the biological and health sciences. But it attracted students from other departments on the campus as well. In order for the book to serve the interest of a larger audience, the author made revisions of the outline, added new topics, and provided more examples for illustrations wherever needed. This invaluable book systematically presents fundamental methods of statistical analysis: from basic probability and statistical distributions, through fundamental concepts of statistical inference, to a collection of methods of analysis useful for scientific research. The text is rich in tables, diagrams, and examples, in addition to theoretical justification of the methods of analysis introduced. Each chapter has a section entitled "Exercises and Problems, " to accompaning the text. There are altogether about 300 exercises, whoseanswers are given. A section entitled "Proof of the Results in This Chapter" in each chapter provides interested readers with material for further study.

Introduction to Statistical Physics

Introduction to Statistical Physics

Author: João Paulo Casquilho

Publisher: Cambridge University Press

Published: 2015

Total Pages: 349

ISBN-13: 1107053781

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Rigorous and comprehensive, this textbook introduces undergraduate students to simulation methods in statistical physics. The book covers a number of topics, including the thermodynamics of magnetic and electric systems; the quantum-mechanical basis of magnetism; ferrimagnetism, antiferromagnetism, spin waves and magnons; liquid crystals as a non-ideal system of technological relevance; and diffusion in an external potential. It also covers hot topics such as cosmic microwave background, magnetic cooling and Bose-Einstein condensation. The book provides an elementary introduction to simulation methods through algorithms in pseudocode for random walks, the 2D Ising model, and a model liquid crystal. Any formalism is kept simple and derivations are worked out in detail to ensure the material is accessible to students from subjects other than physics.


Book Synopsis Introduction to Statistical Physics by : João Paulo Casquilho

Download or read book Introduction to Statistical Physics written by João Paulo Casquilho and published by Cambridge University Press. This book was released on 2015 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rigorous and comprehensive, this textbook introduces undergraduate students to simulation methods in statistical physics. The book covers a number of topics, including the thermodynamics of magnetic and electric systems; the quantum-mechanical basis of magnetism; ferrimagnetism, antiferromagnetism, spin waves and magnons; liquid crystals as a non-ideal system of technological relevance; and diffusion in an external potential. It also covers hot topics such as cosmic microwave background, magnetic cooling and Bose-Einstein condensation. The book provides an elementary introduction to simulation methods through algorithms in pseudocode for random walks, the 2D Ising model, and a model liquid crystal. Any formalism is kept simple and derivations are worked out in detail to ensure the material is accessible to students from subjects other than physics.