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Rabu, 17 April 2019

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, by Judith Krantz

Product details

File Size: 3178 KB

Print Length: 466 pages

Publisher: Bantam (July 13, 2011)

Publication Date: July 13, 2011

Language: English

ASIN: B005707SEY

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I remember reading this book when it came out--probably more than once, come to think about it--and loving it. I also remember loving the Valerie Bertinelli miniseries that came out the next year. So when I saw this book for Kindle, I snapped it up, hoping to enjoy it just as much as I did then. Unfortunately, I really didn't. The Eighties Excess that was Judith Krantz's trademark style didn't really hold up for me. The serial name-dropping (really, a cameo from Donald Trump?), the over-the-top descriptions ("she was so perfectly proportioned that without clothes she seemed taller than when she was dressed"), and the larger-than-life characters were all a bit much. Krantz manages her complicated plot well and keeps the story moving from character to character and even era to era without losing the reader, but I found myself wishing she had focused more on realistic characterization and less on detailing her characters' conspicuous consumption. It's not a bad book--just more of a slog than the fun read I remembered.

Judith Krantz is the kind of writer you just don't see anymore. When I first read I'll Take Manhattan in the 80's, I read it as a reader. It took me away to places I'd never been before: Monte Carlo, New York, a drafty castle in Scotland. It immersed me in a life I knew nothing about: publishing, extreme wealth, bitter siblings who would stop at nothing to destroy others. Exciting stuff.This time around, I read ITM as a writer. Judith write with a flair rarely seen in romances anymore. She can, and does, go on for pages and pages about how someone is feeling, in eclectic prose that belie the character's truth. I saw a different Maxi this time around. I saw a different Rocco. Lily was not the woman I remember from 20 years ago. I saw situations that seemed so outrageous that, if written today, would have quite possibly been slashed to bits by any editor with even a fool's concept of what sells.Yet, somehow, Judith Krantz still remains belle of the ball in this genre. Maybe it's because, when all is said and done, we read romance to escape. It doesn't have to be real, doesn't have to ring entirely true to be entertaining. Sometimes real is...well, TOO real, and sometimes we need a break from it. Sometimes reading about the heroine who has been raped and abused and unable to love again, and the hero who follows her around for 365 pages trying to change her mind, can be trying at best--no matter how good the writing, no matter how wonderful the characters. That's when we return to Judith, who takes us on journeys to foreign lands with spoiled, rich women who trudge through their trials, get burned, get up and dust themselves off, and realize in the end what is truly important--love. The alphas, the brutes, the rakes and the swindlers she tosses in just for fun are the icing on an already very rich cake.I'll take Judith Krantz. Any day.

Maxi and her father Zachary sweep you off your feet at first glance and never let you go. Maxi has a zest for life and fun and you are helplessly entangled in her magnetic force. My favorite of Judith's all though Scruples is right behind it.

She loved this birthday book

The characters, especially Rocco and Maxi, and the plot were excellent.

This is one of my favorite books. I first read it in the late 80s. I pick it up every few years to re-read. The story keeps me captivated from beginning to end. I bought this book to share with a friend.

Got the movie which I loved and wanted the book. Great book and am glad I have both for my collection

I enjoyed reading it again this year. I bought it for my Kindle, completely forgetting that I had my mother's paperback copy in my house.

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Senin, 15 April 2019

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Domu: sogni di bambini.By Katsuhiro Otomo

  • Published on: 2005
  • Binding: Paperback

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Jumat, 12 April 2019

Free Download Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)

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Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)

Review

From the reviews of the third edition:“This is the third edition of a textbook first published in 2000. The text is intended as a course text for a time series analysis class at the graduate level. … the appendix includes everything that is necessary to understand the mathematics of time series analysis. As such, there is no way to describe the whole philosophy of the last half century to time series models better than this book.” (Wolfgang Polasek, International Statistical Review, Vol. 81 (2), 2014)“The book is organised in 7 chapters and 4 appendices. … the book is a valuable resource for students at undergraduate and graduate levels and researchers. The R code for almost all the numerical examples, and the appendices with tutorials containing basic R and R time series commands, are helpful for a better understanding of the theoretical concepts by bringing the theory into a more practical context.” (Irina Ioana Mohorianu, zbMATH, Vol. 1276, 2014)

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From the Back Cover

Time Series Analysis and Its Applications presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The book is designed to be useful as a text for graduate level students in the physical, biological and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear models, resampling techniques, GARCH models, stochastic volatility, wavelets and Markov chain Monte Carlo integration methods. The third edition includes a new section on testing for unit roots and the material on state-space modeling, ARMAX models, and regression with autocorrelated errors has been expanded. Also new to this edition is the enhanced use of the freeware statistical package R. In particular, R code is now included in the text for nearly all of the numerical examples. Data sets and additional R scripts are now provided in one file that may be downloaded via the World Wide Web. This R supplement is a small compressed file that can be loaded easily into R making all the data sets and scripts available to the user with one simple command. The website for the text includes the code used in each example so that the reader may simply copy-and-paste code directly into R. Appendix R, which is new to this edition, provides a reference for the data sets and our R scripts that are used throughout the text. In addition, Appendix R includes a tutorial on basic R commands as well as an R time series tutorial. Â

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Product details

Series: Springer Texts in Statistics

Hardcover: 596 pages

Publisher: Springer; 3rd ed. 2011 edition (November 24, 2010)

Language: English

ISBN-10: 144197864X

ISBN-13: 978-1441978646

Product Dimensions:

6.1 x 1.3 x 9.2 inches

Shipping Weight: 2.2 pounds

Average Customer Review:

3.5 out of 5 stars

37 customer reviews

Amazon Best Sellers Rank:

#906,480 in Books (See Top 100 in Books)

A very good advanced introduction to this massive topic. Probably not right for you if you are new to this subject. In that case, Wei's book would be a better place to begin.

Fist off, what this book is not: It is not a Time Series Theory book like Tsay or Brockwell. If all you want is mathematical rigor, go somewhere else.Now, as to what the book is: it is an very easy to read intermediate text with examples drawn from the real world. It is also reasonably complete in building programming examples in R (with exception of Chapter 7, lamentably ... Chapter 6 code is available on the book's website).One other reviewer commented that some of the examples consist of only one line of R code. This is part of the power of R and CRAN that such powerful statistical techniques like ARIMA and Factor Modeling can be represented in a single function call, and not a shortcoming of the book.This book will not replace Tsay or Zivot and Wang on my shelf, but is an accesible, excellent text that does a very good job of covering its intended purpose, including some relatively advanced topics. Publishing code for Chapter 7 would rate this book its fifth star.

Awesome book, will keep for referring !

Even though I am new to Time Series Analysis and not very good at programming in R, I could fallow this book and actually utilized the example codes. Examples for each subjects were chosen very nicely. I have been working on a project and come across a very nice paper written on the subject of one particular form of State Space model. While I was trying to regenerate authors results with their Data, I had difficulty getting the right results. I found out that there was a big mistakes in the way they presented their data. To my surprise, Shumway and Stoffer analyzed the same data as one of the examples for state-Space model without the mistake of the original paper. I realized how relevant their examples to real life problems I am so interested in. As self study guide, this is a very good practice and reference book. It is intermediate level book for TSA. I think I will get more use out of this book than any other Math-statistic books I have ever used. I like to thank to the Authors.

I work in forecasting in the environmental sciences and I work almost exclusively with state space models. This book has been especially useful for understanding and applying state-space modeling to time series data. I have found other books on state-space modeling much more difficult to follow relative to this book. The code on the website (2006 edition) is very helpful also. I recommend that my graduate students to do self-study with this book. Admittedly they find it hard, and it is those with a strong math/stats background that gain the most from it. This is not an introductory text, even through is is mostly text and lighter on equations relative to, say, a pure math book. But this is a GREAT book for someone with a solid math/stats background and some basic time series analysis under their belt.I've noticed a number of negative reviews pertaining to the section on frequency domain analysis. I haven't actually done more than skim those sections as I never do frequency domain analyses only time domain analyses.Other books I use a lot for state-space modeling reference areHarvey (1989) Forecasting, structural time series models and the Kalman filterDurbin and Koopman (2002) Time Series Analysis by State Space Methods

I like this book, because its simplicity. I personally needed something that dealt with more of DLM's, but needed background on the general time series analysis. Its R examples were very helpful in showing the certain functions that are already implemented in R and how to construct your own time series.

The examples are interesting and informative, but it's been a few years since I took a statistics course and I had forgotten some of the basic manipulations necessary to work through the homeworks. It's still early in the course, but I think that the book and R examples will be more than adequate as an assist to lecture.

I like this book especially because it has good examples of R code that can be used. However in general, I think this book is very theoretical for a beginner who just wants to learn about time series. Reading this book requires prior knowledge about time series.

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  • Sales Rank: #527125 in eBooks
  • Published on: 2015-07-02
  • Released on: 2015-07-02
  • Format: Kindle eBook

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