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Cuddlewick

Cuddlewick

Bob Williams A Faraway Fellow

Publishing Push LTD
2025
pokkari
To read Cuddlewick is nothing less than a subtle but glorious mantra for a way of life. The main theme continues to be the intersection between humans and the natural world, a true voice for children and adults, alike. It invites anyone looking to detach themselves from their own reality and explore what life is like in the characters' shoes. Set on the outskirts of a small village, where a pastoral way of living and community spirit are still in evidence. It is gentle, charming, almost wistful, where readers may retain a potency that could last forever. Nature has a unique ability to bypass the gatekeeper of the mind and go directly to the emotions, for nature is the purest portal to inner peace. In brief, this book is a hidden sapphire.
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Cuddlewick

Cuddlewick

Bob Williams A Faraway Fellow

Publishing Push LTD
2025
sidottu
To read Cuddlewick is nothing less than a subtle but glorious mantra for a way of life. The main theme continues to be the intersection between humans and the natural world, a true voice for children and adults, alike. It invites anyone looking to detach themselves from their own reality and explore what life is like in the characters' shoes. Set on the outskirts of a small village, where a pastoral way of living and community spirit are still in evidence. It is gentle, charming, almost wistful, where readers may retain a potency that could last forever. Nature has a unique ability to bypass the gatekeeper of the mind and go directly to the emotions, for nature is the purest portal to inner peace. In brief, this book is a hidden sapphire.
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Linear Models with R

Linear Models with R

Julian J. Faraway

TAYLOR FRANCIS LTD
2025
sidottu
A Hands-On Way to Learning Data AnalysisPart of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Third Edition explains how to use linear models in physical science, engineering, social science, and business applications. The book incorporates several improvements that reflect how the world of R has greatly expanded since the publication of the second edition.New to the Third Edition40% more content with more explanation and examples throughoutNew chapter on sampling featuring simulation-based methodsModel assessment methods discussedExplanation chapter expanded to include introductory ideas about causationModel interpretation in the presence of transformationCrossvalidation for model selectionChapter on regularization now includes the elastic netMore on multiple comparisons and the use of marginal meansDiscussion of design and powerLike its widely praised, best-selling predecessor, this edition combines statistics and R to seamlessly give a coherent exposition of the practice of linear modeling. The text offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to apply the different methods using R.
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Linear Models with Python

Linear Models with Python

Julian J. Faraway

CRC Press
2020
sidottu
Praise for Linear Models with R:This book is a must-have tool for anyone interested in understanding and applying linear models. The logical ordering of the chapters is well thought out and portrays Faraway’s wealth of experience in teaching and using linear models. … It lays down the material in a logical and intricate manner and makes linear modeling appealing to researchers from virtually all fields of study. -Biometrical JournalThroughout, it gives plenty of insight … with comments that even the seasoned practitioner will appreciate. Interspersed with R code and the output that it produces one can find many little gems of what I think is sound statistical advice, well epitomized with the examples chosen…I read it with delight and think that the same will be true with anyone who is engaged in the use or teaching of linear models. -Journal of the Royal Statistical SocietyLike its widely praised, best-selling companion version, Linear Models with R, this book replaces R with Python to seamlessly give a coherent exposition of the practice of linear modeling. Linear Models with Python offers up-to-date insight on essential data analysis topics, from estimation, inference and prediction to missing data, factorial models and block designs. Numerous examples illustrate how to apply the different methods using Python.Features: Python is a powerful, open source programming language increasingly being used in data science, machine learning and computer science. Python and R are similar, but R was designed for statistics, while Python is multi-talented. This version replaces R with Python to make it accessible to a greater number of users outside of statistics, including those from Machine Learning. A reader coming to this book from an ML background will learn new statistical perspectives on learning from data. Topics include Model Selection, Shrinkage, Experiments with Blocks and Missing Data. Includes an Appendix on Python for beginners.Linear Models with Python explains how to use linear models in physical science, engineering, social science and business applications. It is ideal as a textbook for linear models or linear regression courses.
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Trilogy: One American's Observation, Discovery, Evolution & Secrets

Trilogy: One American's Observation, Discovery, Evolution & Secrets

Michael L. Farahay

Lulu.com
2014
sidottu
Trilogy, One American's, Observation, Discovery, Evolution & Secrets by Michael L. Farahay. Art, Poetry, and Short Stories progressing from young children's through teens and adults with Alaskan adventures, backyard escapades, mystery and work, leadership attitudes and pitfalls. Stories and poetry with drama and humor are used to emphasize situations and suggestions reflecting on: Children & creating, Empathy & maturity, Flying & saucers, P.T.S.D. & war, Abstraction & aging. The Black & white, Hard cover (casewrap) edition, ISBN: 978-1-304-95116-8, ID: 14528199.
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The BUTTERFLY, the BEE and the SPIDER

The BUTTERFLY, the BEE and the SPIDER

Michael L. Farahay

Lulu.com
2014
nidottu
The Butterfly, the Bee, & the Spider, by Farahay, Michael L., is two books in one. A coloring-in section (18 pgs.) follows a 22 page lyrical story with song lyrics and delightful graphics on each page. The characters lives are contrasted with their different actions, colors, shapes and size. Their friendship accented by what they enjoy doing together and sharing. Their friendship is tested with an emergency. One character, being delicate, whimsical and flighty is not anticipated to be the hero. Another one is fast, always in a hurry scurrying here and there, trying to fulfill family responsibilities expediently. However, this character, dodging one thing, becomes stuck in another's...Who can rescue who, and will it be in time? Author/artist, Farahay, M. L., published April 2014. ISBN 978-1-304-98143-1, ID: 14546511, 56 pages, 8.5" X 11".
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Life Spa'w'n: Adult Art, Poetry and Short Stories

Life Spa'w'n: Adult Art, Poetry and Short Stories

Michael L. Farahay

Lulu.com
2016
sidottu
Michael L. Farahay's works in BLACK & WHITE of 45 art-prints, each print on a single page. Prints themes are in 4 sets of Alaska, Heron, Lovers & Student series with some inventor's designs. There are 155 items of poetry both metered and free-verse with a few short stories and event comments. Writings are humorous through dramatic, political activist, sexually explicit and faith based. Many people say they read and re-read it over and over. Teachers request to use content as teaching aids. Art and writings are equally distributed in 17 Chapters. Chapters are titled with names of the United States 16 wars. Casualties are contrasted to the number of vehicular deaths during the same periods. It is a near complete compilation of Michael L. Farahay's work in this book, LIFE SPA'W'N: Adult Art, Poetry & Short Stories.
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LIFE SPA'W'N: Adult art, poetry & short stories.

LIFE SPA'W'N: Adult art, poetry & short stories.

Michael L. Farahay

Lulu.com
2016
nidottu
Here are four series of FULL COLOR art-prints on individual pages through 17 chapters. Chapters are titled after 16 United States of America war actions with metered and free-verse, poetry, short stories and current events commentary. Chapters list numbers of American military casualties compared to number of American vehicular deaths during same period. The writings, adult themes and poetry, 155 items, illustrations and photographs, 80 some, are in 446 pages. The book generates tears and laughter. Many re-read it over and over. Teachers ask to use its content. It is a nearly complete collection of Michael L. Farahay's art, activist writings, and invention designs from 1958 on.
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Thumbs-Up-Text This:

Thumbs-Up-Text This:

Michael L. Farahay

Lulu.com
2016
sidottu
HARD-COVER with a list of one-liners and short paragraphs in 23 short chapters to uplift, challenge, instruct and inspire. Send (as is) or re-write in your own words to text, tweet or treat your friends and family however you may like to do. There are no specific referenced religious text or quotes that may be offensive to some governments...
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THE BUTTERFLY, THE BEE, and THE SPIDER

THE BUTTERFLY, THE BEE, and THE SPIDER

Michael L. Farahay

Lulu.com
2007
pokkari
Animal insect adventure. 2 books in 1, color-in pages after full color, lyrical story. Characters contrasting lives come together at food cafes of insect world. One is delicate, whimsical & carefree. The other a no-time-for-liesure being with family responsibility. One dances in breeze, teeter-totters on leaves. The other dodges one thing only to stick in another. Who can rescue who, how, and will it be in time? TATTERED COVER bookstore. Denver, CO. "I really enjoyed The Butterfly, The Bee and the Spider. I felt it was a very charming story and the illustratons were quite beautiful. You certainly have artistic gifts. I thought the verse was clever and original. I especially liked the repetition because children like that too...I will treasure my copies...Judy B." HS Teacher, Inglewood, OH. "We've enjoyed both books. Did I tell you the children's story was featured in a reading at our grandson Mason's class? The kids were very attentive and loved the illustrations. Weslyn M."
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Extending the Linear Model with R

Extending the Linear Model with R

Julian J. Faraway

Productivity Press
2016
sidottu
Start Analyzing a Wide Range of Problems Since the publication of the bestselling, highly recommended first edition, R has considerably expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition takes advantage of the greater functionality now available in R and substantially revises and adds several topics.New to the Second EditionExpanded coverage of binary and binomial responses, including proportion responses, quasibinomial and beta regression, and applied considerations regarding these models New sections on Poisson models with dispersion, zero inflated count models, linear discriminant analysis, and sandwich and robust estimation for generalized linear models (GLMs) Revised chapters on random effects and repeated measures that reflect changes in the lme4 package and show how to perform hypothesis testing for the models using other methodsNew chapter on the Bayesian analysis of mixed effect models that illustrates the use of STAN and presents the approximation method of INLA Revised chapter on generalized linear mixed models to reflect the much richer choice of fitting software now availableUpdated coverage of splines and confidence bands in the chapter on nonparametric regressionNew material on random forests for regression and classification Revamped R code throughout, particularly the many plots using the ggplot2 packageRevised and expanded exercises with solutions now includedDemonstrates the Interplay of Theory and PracticeThis textbook continues to cover a range of techniques that grow from the linear regression model. It presents three extensions to the linear framework: GLMs, mixed effect models, and nonparametric regression models. The book explains data analysis using real examples and includes all the R commands necessary to reproduce the analyses.
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Marine and Coastal Law

Marine and Coastal Law

Dennis W. Nixon; Michael J. Daly; Susan E. Farady

Praeger Publishers Inc
2009
sidottu
The second edition of Marine and Coastal Law: Cases and Materials updates Nixon's classic casebook with 25 percent new post-1994 landmark case material plus valuable new features, including editorial commentary for all cases, examples to support study questions after each case, and chapter introductions. This extensively updated and enhanced new edition of author Dennis Nixon's classic casebook provides advanced undergraduates, graduate students, and law students in courses in marine affairs and law with an essential grounding in the leading legal decisions and statutory provisions in U.S. marine and coastal law. Cases have been selected for their legal clarity, interesting factual background, doctrinal and precedential importance, and applicability to emerging areas of litigation, maritime affairs, and coastal management. This rapidly evolving and contentious area of the law has seen a steady stream of landmark decisions and legislation in the years since the publication of the first edition of Marine and Coastal Law: Cases and Materials. The second edition is updated with 25 percent new post-1994 landmark case material and is enhanced with valuable new pedagogic features, including editorial commentary for all cases, examples to support study questions after each case, and chapter introductions. The enhancements benefit from the expertise of two new coauthors.
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Bayesian Regression Modeling with INLA

Bayesian Regression Modeling with INLA

Xiaofeng Wang; Yu Ryan Yue; Julian J. Faraway

CRC Press
2020
nidottu
INLA stands for Integrated Nested Laplace Approximations, which is a new method for fitting a broad class of Bayesian regression models. No samples of the posterior marginal distributions need to be drawn using INLA, so it is a computationally convenient alternative to Markov chain Monte Carlo (MCMC), the standard tool for Bayesian inference.Bayesian Regression Modeling with INLA covers a wide range of modern regression models and focuses on the INLA technique for building Bayesian models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to demonstrate the interplay of theory and practice with reproducible studies. Complete R commands are provided for each example, and a supporting website holds all of the data described in the book. An R package including the data and additional functions in the book is available to download.The book is aimed at readers who have a basic knowledge of statistical theory and Bayesian methodology. It gets readers up to date on the latest in Bayesian inference using INLA and prepares them for sophisticated, real-world work.Xiaofeng Wang is Professor of Medicine and Biostatistics at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University and a Full Staff in the Department of Quantitative Health Sciences at Cleveland Clinic.Yu Ryan Yue is Associate Professor of Statistics in the Paul H. Chook Department of Information Systems and Statistics at Baruch College, The City University of New York.Julian J. Faraway is Professor of Statistics in the Department of Mathematical Sciences at the University of Bath.
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Marine and Coastal Law

Marine and Coastal Law

Dennis W. Nixon; Michael J. Daly; Susan E. Farady; Read D. Porter; Julia B. Wyman

BLOOMSBURY PUBLISHING PLC
2022
sidottu
This extensively updated third edition of the classic casebook Marine and Coastal Law provides readers with an authoritative, comprehensive, and up-to-date guide to landmark laws, regulations, and legal decisions governing the United States' vast marine and coastal resources.This thoroughly revised and updated third edition of the prestigious Marine and Coastal Law casebook provides an essential overview of landmark legal decisions and statutory provisions in U.S. marine and coastal law, with a particular emphasis on regulatory changes and legal conflicts involving climate change, coastal resilience/protection, and sea level rise. In addition to a thorough updating of the contents of the second edition (including editorial commentary on every case), this new revised edition features extensive new content, including two entirely new chapters and new "learning objectives" for each chapter.Produced by five experts in U.S. marine law, this third edition stands as an accessible and invaluable resource for both lay readers and legal professionals who are seeking greater understanding of the ever-evolving and frequently contentious laws and regulations governing U.S. and international fisheries, maritime shipping and transport, offshore oil and mineral resources, climate change mitigation strategies, coastal protection, marine pollution, and port and harbor operations.
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Bayesian Regression Modeling with INLA

Bayesian Regression Modeling with INLA

Xiaofeng Wang; Yu Ryan Yue; Julian J. Faraway

Productivity Press
2018
sidottu
INLA stands for Integrated Nested Laplace Approximations, which is a new method for fitting a broad class of Bayesian regression models. No samples of the posterior marginal distributions need to be drawn using INLA, so it is a computationally convenient alternative to Markov chain Monte Carlo (MCMC), the standard tool for Bayesian inference.Bayesian Regression Modeling with INLA covers a wide range of modern regression models and focuses on the INLA technique for building Bayesian models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to demonstrate the interplay of theory and practice with reproducible studies. Complete R commands are provided for each example, and a supporting website holds all of the data described in the book. An R package including the data and additional functions in the book is available to download.The book is aimed at readers who have a basic knowledge of statistical theory and Bayesian methodology. It gets readers up to date on the latest in Bayesian inference using INLA and prepares them for sophisticated, real-world work.Xiaofeng Wang is Professor of Medicine and Biostatistics at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University and a Full Staff in the Department of Quantitative Health Sciences at Cleveland Clinic.Yu Ryan Yue is Associate Professor of Statistics in the Paul H. Chook Department of Information Systems and Statistics at Baruch College, The City University of New York.Julian J. Faraway is Professor of Statistics in the Department of Mathematical Sciences at the University of Bath.
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