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• Sales Rank: #875102 in Books
• Published on: 2013-04-17
• Original language: English
• Number of items: 1
• Dimensions: 11.25" h x 9.00" w x 2.00" l, 6.70 pounds
• Binding: Hardcover
• 1536 pages

About the Author
Dr. William H. Hoffman, Jr., earned B.A. and J.D. degrees from the University of Michigan and M.B.A. and Ph.D. degrees from The University of Texas. He is a licensed CPA and attorney in Texas. His teaching experience includes The University of Texas (1957-1961), Louisiana State University (1961-1967), and the University of Houston (1967-1999). Dr. Hoffman has addressed many tax institutes and conferences and has published extensively in academic and professional journals. His articles appear in THE JOURNAL OF TAXATION, THE TAX ADVISER, TAXES ? THE TAX MAGAZINE, THE JOURNAL OF ACCOUNTANCY, THE ACCOUNTING REVIEW, and TAXATION FOR ACCOUNTANTS.

David M. Maloney, Ph.D., CPA, is the Carman G. Blough Professor of Accounting at the University of Virginia's McIntire School of Commerce. He completed his undergraduate work at the University of Richmond and his graduate work at the University of Illinois at Urbana-Champaign. Since joining the Virginia faculty in January 1984, Professor Maloney has taught federal taxation in the graduate and undergraduate programs and has received major research grants from the Ernst & Young and KPMG Foundations. In addition, his work has been published in numerous professional journals, including THE JOURNAL OF TAXATION, THE TAX ADVISOR, TAX NOTES, CORPORATE TAXATION, ACCOUNTING HORIZONS, JOURNAL OF TAXATION OF INVESTMENTS, and JOURNAL OF ACCOUNTANCY. He is a member of several professional organizations, including the American Accounting Association and the American Taxation Association.

William A. Raabe, Ph.D., CPA, teaches graduate tax courses at the Fisher College of Business at The Ohio State University and at the Capital University (OH) Law School. He is a leader among business school tax faculty in incorporating developments in technology into curricula for the educational development of tax professionals. Dr. Raabe's teaching and research interests focus on multijurisdictional taxation and financial planning, and he is recognized as the leader among business school academics in the fields of state and local income, sales, and property taxation. Dr. Raabe is the author or editor of approximately twenty books, including this text, SCHEDULE M-3 COMPLIANCE, and the MULTISTATE CORPORATE TAX GUIDE. He has received university-wide recognition as the winner of the AMOCO Foundation Award for Teaching Excellence, and the Wisconsin Institute of CPAs named him the Educator of the Year.

Dr. James C. Young is the Crowe Horwath Professor of Accountancy at Northern Illinois University. A graduate of Ferris State University (B.S.) and Michigan State University (M.B.A. and Ph.D.), Dr. Young's research focuses on taxpayer responses to the income tax using archival data. His dissertation received the PricewaterhouseCoopers/American Taxation Association Dissertation Award, and his subsequent research has received funding from a number of organizations including the Ernst & Young Foundation Tax Research Grant Program. His work has been published in a variety of academic and professional journals including the NATIONAL TAX JOURNAL, THE JOURNAL OF THE AMERICAN TAXATION ASSOCIATION, and TAX NOTES. Dr. Young was named a Northern Illinois University Presidential Teaching Professor in 2007, and he has received outstanding teaching awards from George Mason University and Michigan State University.

Most helpful customer reviews

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It is what it says it is
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This book never fails to impress. It has all the new guidelines for each new tax year. Its clear and concise and a great tax reference for newer and experienced accountants. I buy this book every year and I am never disappointed.

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- Coherent and unified treatment of nonlinear regression with R.

- Example-based approach.

- Wide area of application.

• Sales Rank: #1701399 in Books
• Published on: 2008-11-21
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x .37" w x 6.10" l, .50 pounds
• Binding: Paperback
• 148 pages

Review

From the reviews:

"The Use R! series published by Springer is a wonderful thing. There is nothing else like it, and as far as I know there has never been anything like it, certainly not for open source software…. This book by Ritz and Streibig is a fine example. It documents, explains, and illustrates in considerable detail the venerable nls() function, available both in S and R, … a mini-course in nonlinear regression…. Books of this form are ideal for self-study,…. My guess is that about 95% of the experimenters or researchers using this book will think that the material is quite sufficient for their needs, and will not be interested in further theoretical studying. That, I think, is actually one of its greatest strengths. … In summary I think the book is excellent, and eminently useful. I hope it will serve as a model for documenting more of the larger R functions and packages." (Jan de Leeuw, Journal of Statistical Software, 2009).

"Readership: Under- and post-graduate students of statistics and of applied disciplines in biology, chemistry, engineering, fisheries science, medicine and toxicology. … The scope and topic of this book are in the title and the authors take as their starting point the function nls() and subsequently, related functions in R. … I strongly recommend this book – if you are a young scientist … then this book will save you hours of wasted exploration and investigation to find the allusive solution to your nonlinear estimation problem." (C. M. O’Brien, International Statistical Review, Vol. 77 (3), 2009)

“…A brief and focused book in Springer’s ‘Use R!’ series. …The information about nonlinear regression methodology and advice on how to use it is accurate and useful; the examples are novel and effective … and the authors provide enough information for practitioners who have little experience with nonlinear regression to begin to fit simple nonlinear models and draw inferences from them. … Useful as a secondary text for an applied course on non-linear regression, providing students a tutorial on implementation in R and even some exercises that could be used in such a course or for self-study. I congratulate Ritz and Steibig on a informative and well-written little book. ” (The American Statistician, February 2010, Vol. 64 No.1)

“The preface of this book clearly spells out its intended purpose: it is a how-to book on the use of the nls function in R, rather than a textbook on nonlinear regression. As such, it is intended as a reference for readers with some past experience with R and a reasonable working knowledge of linear regression, or as a supplementary text for a course on nonlinear regression. It serves both purposes pretty well and I judge it to be a handy little book… .” (Biometrics, Summer 2009, 65, 1001)

From the Back Cover

R is a rapidly evolving lingua franca of graphical display and statistical analysis of
experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regression analysis, but the relevant functions, packages and documentation are scattered across the R environment. This book provides a coherent and unified treatment of nonlinear regression with R by means of examples from a diversity of applied sciences such as biology, chemistry, engineering, medicine and toxicology.
The book begins with an introduction on how to fit nonlinear regression models in R. Subsequent chapters explain in more depth the salient features of the fitting function nls(), the use of model diagnostics, the remedies for various model departures, and how to do hypothesis testing. In the final chapter grouped-data structures, including an example of a nonlinear mixed-effects regression model, are considered.
Christian Ritz has a PhD in biostatistics from the Royal Veterinary and Agricultural University. For the last 5 years he has been working extensively with various applications of nonlinear regression in the life sciences and related disciplines, authoring several R packages and papers on this topic. He is currently doing postdoctoral research at the University of Copenhagen.
Jens C. Streibig is a professor in Weed Science at the University of Copenhagen. He has for more than 25 years worked on selectivity of herbicides and more recently on the ecotoxicology of pesticides and has extensive experience in applying nonlinear regression models. Together with the first author he has developed short courses on the subject of this book for students in the life sciences.

Most helpful customer reviews

4 of 4 people found the following review helpful.
A Slim Volume, but Useful
By Adam Hyland
Nonlinear Regression with R (NRwR) offers an example driven tour of R's base nonlinear regression tool, nls(). As you can glean from the table of contents, NRwR covers nonlinear models, generalized linear models, self-starting functions and model diagnostics (tools for inference as well). It does so in ~113 pages. BE WARNED. The book looks short because it is. Most of the material is helpful, but you are paying close to 50 bucks for a relatively short book.

High points:

-Model diagnostics are handled fairly well. The book walks you through checking for heteroskedacity, writing a function to test a hypothesis and dealing with mis-specified errors.

-Examples abound. If you read this book as it was intended, you will download the nlrwr package and follow along as the authors walk through datasets. Each page has sample code allowing you to reproduce the graphs and results in the book.

-Length can be an advantage. If you aren't particularly interested in the theory behind nonlinear regression, you wont be encumbered by it here.

-The bibliography is broken down by theme and is genuinely helpful.

Low Points:

-As reliant as the book is on nls(), I would love to have seen more digging into the peculiarities of this function. Chapter 4 is devoted to nls(), but it is a mere 16 pages, one of which is basically the gist of ?nls. I know it is beyond the scope, but I would have been excited to see more detail on nls so we can use the output from a nonlinear least squares problem as a building block to a larger function.

- organization for the book is a bit odd. The introduction is comprised of three examples of nonlinear regression in the field. It is about six pages and seems to have been cobbled together. The book would have been better served by a more thorough introduction.

-The topics covered are relatively narrow.

-Length is a serious factor.

All in all this is a good effort which would be easily 4 or 5 stars at a lower price point. I'm happy I bought it, but if your budget is constrained and you are forced to choose between this and another book on R's internals, think hard about the pros and cons.

3 of 3 people found the following review helpful.
Consise and to the point... but do not expect to learn R or the nuts and bolts of non-linear regression
By Marshall
This book is pretty concise and to the point: It will show you how to do non-linear regression with R but will teach you neither. If you are familiar with non-linear regression methodologies and have some familiarity with R, this book will have you using R for your non-linear regression needs in a snap. In this sense the short length and limited scope are an asset.

If you are not familiar with the theory behind non-linear regression I would certainly recommend complementing this book with a more in depth treatment of the subject. I found Bates and Watts to be very balanced in terms of presenting important information without being overwhelmingly mathematical. On the other hand, if you never used R, then you will need to learn it elsewhere as the book assumes certain level of familiarity with the environment.

In short, the book is a glorified tutorial on nls() and got me doing NLR in R pretty quickly. In this sense I recommend it and if price is not an issue I would think it is probably a good reference to have around. However, as other reviewers pointed out, the price seems disproportionate especially considering that there are other resources on-line that will do the trick. The price would be fairer if the book included tutorials in other related areas such as Bayesian inference with non linear models or an expanded treatment of non-linear mixed effects models, just to throw in some ideas.

2 of 3 people found the following review helpful.
Great Kickstart
By Philip Turk
This is a neat book. It's a great way to get an introduction to nonlinear regression via the use of R. It does not require any sort of heavy-hitting theoretical background; you can find other books (e.g., Seber and Wild) to fill in the details. By carefully studying the examples and the R code, one can definitely learn a few things that will serve as grist for future reading and applications. It's small size probably means you'll actually read it and suits its intended purpose!

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• Sales Rank: #648730 in Books
• Published on: 2012-11-14
• Ingredients: Example Ingredients
• Original language: English
• Number of items: 2
• Dimensions: 9.97" h x 3.06" w x 6.99" l, .0 pounds
• Binding: Paperback
• 1365 pages

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Small Apartment Investing, by Mati Ntongondu

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This book will teach you what you need to know to start investing in real estate, especially small apartment complexes. I immigrated to the United States from Kenya in 1991 with nothing, and did not know anything about real estate. Through application of the principles covered in this book, I have transformed myself from a village boy to an apartment investor. If you have the desire to invest in real estate, but do not have any money or knowledge to do it, take heart. This book will teach you what you need to know to start investing with confidence.

• Sales Rank: #2038631 in Books
• Published on: 2014-08-05
• Original language: English
• Number of items: 1
• Dimensions: 9.00" h x .17" w x 6.00" l,
• Binding: Paperback
• 74 pages

Most helpful customer reviews

0 of 0 people found the following review helpful.
Great beginner's book! Please buy and read!
By Amazon Customer
This is a very nice book. It is very short, but has enough detail to get interested in real estate investing. This book is not end all-be all book for apt investing. Instead, it should open your eyes to reading more about investing. Importantly, this book should help convert your mindset. If a guy can come from a poor village in africa to buy an apartment, we all can. Thanks Mr. Ntongondu.

0 of 0 people found the following review helpful.
Buying small apartments
By Jacob Cherian
Small apartment investing is a short informative to the point investing book about buying apartment buildings for financial freedom with many guidelines and formulas and instructions to make smart profitable investment choices and good deals.

0 of 0 people found the following review helpful.
Five Stars
By Juija
Small Apartment Investing was very informational and educational.

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The Orphan and the Polar Bear, by Sakiasi Qaunaq

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In the world of Inuit traditional stories, animals and humans are not such different creatures. Animals can speak to, understand, and form relationships with humans. In The Orphan and the Polar Bear an orphaned boy who is abandoned on the sea ice by a group of cruel hunters is discovered and adopted by a polar bear elder. While living in the polar bear’s village, the orphan learns many lessons about survival, but most importantly, he learns something about himself and his own place in the world.

• Sales Rank: #2265570 in Books
• Brand: Brand: Inhabit Media
• Published on: 2011-09-01
• Original language: English
• Number of items: 1
• Dimensions: 8.20" h x .41" w x 10.32" l, .79 pounds
• Binding: Hardcover
• 40 pages

Features

• Used Book in Good Condition

From School Library Journal
K-Gr 2-In this tale retold by a contemporary Inuit storyteller, an orphaned youngster is repeatedly abandoned on an ice floe by the seal hunters of his tribe who hope for his death. He is eventually rescued by a polar bear in human form who takes the boy to his own community and teaches him the skills necessary to survive in this harsh land. When he is able to hunt and fight, he is returned to his own kind, having been taught how to become a man. Lovely watercolor illustrations dominated by blue and white hues place readers into the chilly landscape and lend credence to this simple, but cruel tale. The lesson of self-reliance is implied in this stilted translation, but not made explicit enough for younger children. The boy shows no gratitude to his animal rescuers, seems to harbor no resentment against his human tribesmen, and has an unknown future. Useful for folktale collections, but marginal for general storytelling.-Eva Elisabeth VonAncken, formerly at Trinity-Pawling School, Pawling, NYα(c) Copyright 2013. Library Journal. LLC, a wholly owned subsidiary of Media Source, Inc. No redistribution permitted.

About the Author

Sakiasi Qaunaq has lived most of his life in the Arctic Bay area. His grandmother told him stories as a child and fostered in him a love for traditional legends. In his youth the stories were told for entertainment, but today he feels their retelling is crucial to sustaining Inuit traditions and culture. Eva Widermann is a freelance illustrator and concept artist whose work has been published in a wide variety of books, magazines, and games. Her work has become renowned for its realistic and evocative edge.

Excerpt. © Reprinted by permission. All rights reserved.

"I have seen how the adults mistreat you, and I have often felt greatpity for your situation. I wish to teach you the skills you need tosurvive, so that you will no longer be dependent on these cruel people.Climb on my back and come with me to my village."

Most helpful customer reviews

1 of 1 people found the following review helpful.
Good book
By Tim Donnelly
Very helpful

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[D786.Ebook] Ebook Information Technology Law by Ian Lloyd (2014-10-01), by Ian Lloyd;

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• Published on: 1800
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