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1000 tulosta hakusanalla Phillip Good

Good Boy, Bad Boy, A Better Man

Good Boy, Bad Boy, A Better Man

Phillip Giambri

Movement Publishing
2022
pokkari
What a wonderful, heartfelt book Phillip Giambri tracks his journey from South Philly kid to East Village raconteur and fixture, stopping along the way to remember the Iceman, horse-drawn delivery wagons, fresh milk from the cow and wine from the basement, high school detention, motorcycles, Mummers Day Parades, debunking Jesus (in a Catholic school 'alternative newsletter' ), nuclear submarines, Off-Off-Broadway, Moroccan hash and, inevitably, sex. Did I mention sex?The cast includes such names as Charlie the Goat Man, Francine the Queer, Uncle Leon, Donnie the Cowboy, and Farmer Dobbs. Also, Chevy Chase, Blythe Danner, Michael Douglas, and Raul Julia, who aren't as much fun as the first group.The stories keep coming and they're funny, fascinating, and real, the taste of a time long gone and sadly so. The language is matter-of-fact and unsentimental, but it casts a spell-the world was not simpler then but people felt that more of their fate was in their own hands, that they could make something of themselves from their own effort. They had simple dignity. Who knew dignity would become so elusive? Giambri's stories resonate far and wide. Don't miss this book-it's a treasure -Ted Krever, Author Swindler and Son: A Heist Misadventure
Good News for Anxious Christians, expanded ed. – 10 Practical Things You Don`t Have to Do
A talented teacher unpacks the riches of traditional Christian spirituality for Christians burdened by the guilt and anxiety of introspective, in-my-heart spiritual techniques. Phillip Cary explains that knowing God is a gradual, long-term process that comes through the gospel experienced in Christian community. The first edition has sold over 17,000 copies. The expanded edition includes a new afterword that offers further insights since the first edition was published over ten years ago.
Goodbye Mexico

Goodbye Mexico

Phillip Jennings

Regnery Publishing Inc
2017
pokkari
Remember when our alphabet agencies--CIA, DIA, NSA, FBI--were actually competent? Are you sure? Maybe they were just better at burying their mistakes... "This book is almost too funny to be fiction. Phil Jennings' tales of hilarity and criminality are matched only by the front pages of Amercia's newspapers, and my laughter only stopped when I wondered: could this be true?" -Nathaniel Fick, former U.S. Marine Captain and author of One Bullet Away
A Genealogy of the Good and Critique of Hubris

A Genealogy of the Good and Critique of Hubris

Phillip Dybicz

OXFORD UNIVERSITY PRESS INC
2023
sidottu
In A Genealogy of the Good and Critique of Hubris, Phillip Dybicz employs a deep historical analysis to the field of social welfare in a highly untraditional manner. Rather than seeking to map out a tale of linear progress and advancement in society's understanding of social welfare and its administration, this book seeks to address the following question: "Are we morally progressing in our understanding of social welfare and its administration?" Geared toward both academics and practitioners, rather than focusing upon gains in technical know-how and knowledge of social welfare, Dybicz explores what gains are being made across various eras in our wisdom to humanely provide relief to those in our society that are oppressed, dispossessed, and in need in a manner that avoids moral pitfalls such as social control. Adopting Michael Foucault's genealogical method of historical investigation, Dybicz reaches back to the seventeenth century and describes four distinct eras in which a particular discourse dominated our understanding and efforts at social welfare. He examines how economic, political, social, and even geographic conditions shape society's perceived needs in social welfare. As well as examining how prominent intellectual thought, a philosophical paradigm describing reality and knowledge generation, defining cultural features and themes, and concepts of the self, all serve to shape our understanding of social welfare and what its desired qualities and aims should be. Together, the above elements coalesce to form a grand discourse that in the Foucaultian tradition speaks to an underlying urgent need of society, and various rules-of-right that shape knowledge generation.
A Divine Chain-Reaction: Biblical Keys to Obtaining Good Success
This book focuses on Christian faith and how faith if correctly understood produces the miraculous. The author shares his testimony of being miraculously healed of stage 4 cancer through faith; and gives practical insight into how believers can experience the miraculous through the Word, Image, and Action process. Finally, this book from a biblical perspective shows that a clear understanding of the process of faith and consistent pattern of obedience produces an expected end of good success. Good success that's available to every believer for every area of their lives (i.e., health, healing, financial, relational, etc...).
Shirley, Goodness, and Mercy (glossy cover)
This tale of three guardian angels (Shirley, Goodness and Mercy) centers around King David and his young son Solomon. David explains to his son that he has three guardian angels who have watched over him his entire life. And, he explains to Solomon how he met each one of them during experiences recorded in the Bible about the life of the king. I never really know where my inspiration will come from when I write a book. In my first original book, "Pick Me " Cried Arilla, I wrote about a star getting ready for her mission. The inspiration for that story came from a sermon I heard when I was in college. So, yes, the idea rolled around in my head for quite some time. The story of Shirley, Goodness and Mercy was inspired by my pastor's sermon on Psalm 23:6. Yes, I wish I had cleverly come up with the idea of these three guardian angels, but I knew there was a story as soon as they were mentioned. I ran with the idea immediately. This time, I wrote the story within a week. Sadly, I don't remember anything else from either of those sermons.
Shirley, Goodness and Mercy

Shirley, Goodness and Mercy

Phillip Martin

Lulu.com
2022
sidottu
This tale of three guardian angels (Shirley, Goodness and Mercy) centers around King David and his young son Solomon. David explains to his son that he has three guardian angels who have watched over him his entire life. And, he explains to Solomon how he met each one of them during experiences recorded in the Bible about the life of the king. I never really know where my inspiration will come from when I write a book. In my first original book, "Pick Me " Cried Arilla, I wrote about a star getting ready for her mission. The inspiration for that story came from a sermon I heard when I was in college. So, yes, the idea rolled around in my head for quite some time. The story of Shirley, Goodness and Mercy was inspired by my pastor's sermon on Psalm 23:6. Yes, I wish I had cleverly come up with the idea of these three guardian angels, but I knew there was a story as soon as they were mentioned. I ran with the idea immediately. This time, I wrote the story within a week. Sadly, I don't remember anything else from either of those sermons.
Permutation, Parametric, and Bootstrap Tests of Hypotheses

Permutation, Parametric, and Bootstrap Tests of Hypotheses

Phillip I. Good

Springer-Verlag New York Inc.
2004
sidottu
This text is intended to provide a strong theoretical background in testing hypotheses and decision theory for those who will be practicing in the real worldorwhowillbeparticipatinginthetrainingofreal-worldstatisticiansand biostatisticians. In previous editions of this text, my rhetoric was somewhat tentative. I was saying, in e?ect, “Gee guys, permutation methods provide a practical real-world alternative to asymptotic parametric approximations. Why not give them a try?” But today, the theory, the software, and the hardware have come together. Distribution-free permutation procedures are the primary method for testing hypotheses. Parametric procedures and the bootstrap are to be reserved for the few situations in which they may be applicable. Four factors have forced this change: 1. Desire by workers in applied ?elds to use the most powerful statistic for their applications. Such workers may not be aware of the fundamental lemma of Neyman and Pearson, but they know that the statistic they wanttouse—acomplexscoreoraratioofscores,doesnothaveanalready well-tabulated distribution. 2. Pressure from regulatory agencies for the use of methods that yield exact signi?cance levels, not approximations. 3. A growing recognition that most real-world data are drawn from mixtures of populations. 4. A growing recognition that missing data is inevitable, balanced designs the exception. Thus, it seems natural that the theory of testing hypothesis and the more general decision theory in which it is embedded should be introduced via the permutation tests. On the other hand, certain relatively robust param- ric tests such as Student’s t continue to play an essential role in statistical practice.
Analyzing the Large Number of Variables in Biomedical and Satellite Imagery
This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling methods—the bootstrap, decision trees, and permutation tests, before the specialized methods applicable to large arrays could be introduced. As the intended audience for this book consists both of statisticians and of medical and biological research workers as well as all those research workers who make use of satellite imagery including agronomists and meteorologists, the book provides a step-by-step approach to not only the specialized methods needed to analyze the data from microarrays and images, but also to the resampling methods, step-down multi-comparison procedures, multivariate analysis, as well as data collection and pre-processing. While many alternate techniques for analysis have been introduced in the past decade, the author has selected only those techniques for which software is available along with a list of the available links from which the software may be purchased or downloaded without charge. Topical coverage includes: very large arrays; permutation tests; applying permutation tests; gathering and preparing data for analysis; multiple tests; bootstrap; applying the bootstrap; classification methods; decision trees; and applying decision trees.
Introduction to Statistics Through Resampling Methods and R/S-PLUS
Stimulate learning through discovery With its emphasis on the discovery method, this book allows readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers will quickly master and learn to apply statistical methods, such as bootstrap, decision trees, and permutations, to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: * Tests and estimation procedures for one, two, and multiple samples * Model building * Multivariate analysis * Complex experimental design Throughout the text, the R programming language is used to illustrate new concepts and assist readers in completing exercises. Readers may download the freely available R programming language from the Internet or take advantage of the menu-driven S-PLUS(r) program. Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building.All the pedagogical tools needed to facilitate quick learning are provided: * More than two hundred exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills * Companion FTP site provides access to all data sets and programs discussed in the text * Dozens of thought-provoking questions in the final chapter, Problem Solving, assist readers in applying statistics to address real-life problems * Instructor's manual provides answers to exercises * Helpful appendices include an introduction to S-PLUS(r) features This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited for both students and practitioners.
Introduction to Statistics Through Resampling Methods and Microsoft Office Excel
Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods, such as bootstrap, decision trees, t-test, and permutations to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: * Tests and estimation procedures for one, two, and multiple samples * Model building * Multivariate analysis * Complex experimental design Throughout the text, Microsoft Office Excel(r) is used to illustrate new concepts and assist readers in completing exercises. An Excel Primer is included as an Appendix for readers who need to learn or brush up on their Excel skills. Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided: * More than 100 exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills * Companion FTP site provides access to all data sets discussed in the text * An Instructor's Manual is available upon request from the publisher * Dozens of thought-provoking questions in the final chapter assist readers in applying statistics to solve real-life problems * Helpful appendices include an index to Excel and Excel add-in functions This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited to both students and practitioners.
A Manager's Guide to the Design and Conduct of Clinical Trials
This newly updated edition of the benchmark guide to computer-assisted clinical trials provides a comprehensive primer for prospective managers. It covers every critical issue of the design and conduct of clinical trials, including study design, organization, regulatory agency liaison, data collection and analysis, as well as recruitment, software, monitoring, and reporting. Keeping the same user-friendly format as the original, this Second Edition features new examples and the latest developments in regulatory guidelines, such as e-submission procedures and computerized direct data acquisition. The new edition also reflects the increasing globalization of clinical trial activities, and includes new information about international standards and procedures, including the Common Technical Document and CDISC standards. This step-by-step guide is supported by handy checklists and extracts from submitted protocols. Experienced author and consultant Phillip Good incorporateshumorous yet instructive anecdotes to illustrate common pitfalls. Based on the proven industrial formula of planning, implementing, and finally performing essential checks, the book's three sections-"Plan," "Do," and "Check"-includethe following material: * Should the trials be conducted? * Put it in the computer and keep it there * Staffing for success * Designing trials and determining sample size * Budgeting * Recruiting and retaining patients and physicians * Data management * Monitoring the trials * Data analysis * After action review * Exception handling Executive and managerial professionals involved in the design and analysis of clinical experiments, along with clinical research associates, biostatisticians, and students in public health will find A Manager's Guide an indispensable resource. Praise for the First Edition: ". . . readable, informative and at times witty . . . never stops being concise and well written . . . a book worth a read . . ." -Statistics in Medicine "The book is very prescriptive and full of lists and tables with which to guide managers in making effective decisions in using computer-assisted clinical trials in pharmaceutical studies." -Technometrics "This book is must-have reading for anyone in the business . . ." -Clinical Chemistry
Resampling Methods

Resampling Methods

Phillip I. Good

Birkhauser Boston Inc
2005
sidottu
"…the author has packaged an excellent and modern set of topics around the development and use of quantitative models.... If you need to learn about resampling, this book would be a good place to start." Technometrics (Review of the Second Edition) This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, the book provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware. Topics and Features - Practical presentation covers both the bootstrap and permutations along with the program code necessary to put them to work. - Includes a systematic guide to selecting the correct procedure for a particular application. - Detailed coverage of classification, estimation, experimental design, hypothesis testing, and modeling. - Suitable for both classroom use and individual self-study. New to the Third Edition - Procedures are grouped by application; a prefatory chapter guides readers to the appropriate reading matter. - Program listings and screen shots now accompany each resampling procedure. - To simplify programming, code for readers to download and apply is posted at http://www.springeronline.com/0-8176-4386-9. - Notation has been simplified and, where possible, eliminated. - A glossary and answers to selected exercises are included. With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for statisticians, biostatisticians, statistical consultants, students, and research professionals in the biological, physical, and social sciences, engineering, and technology.
Common Errors in Statistics (and How to Avoid Them)

Common Errors in Statistics (and How to Avoid Them)

Phillip I. Good; James W. Hardin

John Wiley Sons Inc
2012
nidottu
Praise for Common Errors in Statistics (and How to Avoid Them) "A very engaging and valuable book for all who use statistics in any setting." ?CHOICE "Addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research." ?MAA Reviews Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials. Providing a consistent level of coherency throughout, the highly readable Fourth Edition focuses on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. The authors begin with an introduction to the main sources of error and provide techniques for avoiding them. Subsequent chapters outline key methods and practices for accurate analysis, reporting, and model building. The Fourth Edition features newly added topics, including: Baseline dataDetecting fraudLinear regression versus linear behaviorCase control studiesMinimum reporting requirementsNon-random samples The book concludes with a glossary that outlines key terms, and an extensive bibliography with several hundred citations directing readers to resources for further study. Presented in an easy-to-follow style, Common Errors in Statistics, Fourth Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.