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10 Secrets I Learned from The Apprentice
Anthony Parinello , and
Beth Gottfried
Manufacturer: Chamberlain Bros.
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ASIN: 1596090049
Release Date: 2004-07-27 |
Book Description
On the hit reality TV show "The Apprentice," 16 power-mongering contestants compete ferociously for a top-level, year-long position at one of real estate mogul Donald Trump's companies. The competition-and the competitors-are ruthless, but only one will be left standing. So what does it take to become number one in the world of big business and finance? By examining the show and the contestants, not to mention Trump himself, some valuable tips can be gleaned to pave your way to the top.
Customer Reviews:
A pleasant quick read. Not earth shattering--but good........2006-01-31
After reading most of the books 'written by' Donald Trump, and reading some of those reviews, this book seems prolific. No, these lessons aren't astounding, but they are well meaning. I have definitely read a lot worse. The added information in the back of the book seemed like a futile place to add a few more pages. I bought this book for a buck at a bookstore which was going out of business, so I feel like I got my moneys worth.
Don't Bother.......2006-01-18
I originally chose this title because it was cheaper to add it to my order and get the free super saver shipping then paying the minimum shipping rate. However I can honestly say that I would have been better off if I had just paid the extra dollar as I would not have wasted my time reading this garbage.
Lets look at the title shall we "10 Secrets I Learned from The Apprentice". First of all I am highly skeptical that the author learned these 10 "Secrets" from the television show. More likely the author just wanted to write a book with some sort of tie in to a popular television show in misguided hopes of making some money.
Well guess what, the book is selling for scraps now. So if you want to learn how to end up in the metaphorical bargain bin of whatever your chosen profession get this book. If you want Apprentice like advice for business read one of the books authored by Trump that have made it to the best seller lists.
good, but it could be better substantiated.......2005-08-06
The game plan in Mark Burnett's hit reality TV show The Apprentice is to ruthlessly eliminate 15 of its 16 contenders, in its bid to identify the best man or woman for the top job in one of billionaire Donald Trump's corporations. In the event, it sheds light on the ways and means Trump, estimated by Forbes to be worth US$1.74bil (RM6.6bil), and the likes of him may have undertaken on the warpath to building their own business empires.
The contenders are divided into two teams: Protege and Versacorp, where they are expected to compete against the rival team and against members of their own team for leadership posts while maintaining teamwork throughout 15 frenetic episodes.
They are thus put through a series of tests to gauge their team leadership skills, competitive spirit, business acumen, passion, gumption and more. These tests have included an advertising campaign for a card that allocates private jet service by the hour, an AIDS benefit auction, art exhibition, running a lemonade stand and selling bottled drinking water.
Although Trump appears only at the end of each episode to eliminate one person from the losing team - and briefly at the start - he really is the star of the show which is an induction into his world. Choosing his apprentice by shrewdly assessing their strengths and weaknesses, with the help of assistants George and Carolyn, Trump cuts a clear picture of the type of person that will fit in his world.
According to Parinello, a Wall Street Journal bestselling author, and Gottfried, a regular columnist for The Apprentice on www.the-trades.com, the ideal candidate will be familiar with all or most of these 10 Trump-approved methods:
Think Big. Show the Competition No Mercy. Defend Yourself Aggressively. Remember, Consensus Is Overrated. Identify All Possible Resources, and Use Them Strategically. Cut Your Losses. Get Face-to-Face With Key Decision-Makers. Step Up - Take Intelligent Chances, and Then Take Responsibility. Advance the Most Profitable Deal. Negotiate Tough.
Employers look for people who dare go after a riskier but more potentially rewarding path, who will pull through more often than not. These are what Trump calls Big Thinkers. The apprentice will have to be this and much, much more.
The apprentice will have to be able to Show the Competition No Mercy. He does this by identifying and neutralising competition - both outside and inside. He recognises there will be team-mates who are not above stealing his ideas or credit for his work, or sabotaging his ambitions.
If things take a turn for the worse and they sometimes do, the apprentice will Defend Himself Aggressively. It doesn't matter whether he is right or wrong, what matters is that he steps up and defends himself aggressively. How he tackles false charges and inaccuracies will be perceived as a measure of his fighting spirit.
The problem with group-think is that the watered down solution that is agreeable to everyone is rarely often the best solution, that Consensus is Overrated - so, when in a leadership position, his team cannot come to a compromise, he takes what he thinks is the best idea and runs with it.
Being able to Identify All Possible Resources and Use Them Intelligently, especially non-cash resources like getting things one needs without paying full price for them, ingenious methods of attracting potential customers, getting people to work for free, goes a long way to aiding continual business survival. The apprentice recognises this and uses the resources to his advantage.
And if things somehow don't work according to plan, the apprentice will Cut His Losses, and move on. In a leadership position, these include reshuffling a team, changing a design, approach or product line and firing someone. Continuing with something or someone that is not working is a waste of resources, time and energy.
To win over a position or a business, the apprentice will Get Face-to-Face with Key Decision Makers as often as possible, and make his case with passion and style. Non verbal communication counts and face time will give him the chance to feel out his contact's distinct way of interacting with the world. More importantly, he will get to bond with that person.
Failure comes with the territory but the apprentice knows how to Step Up - Take Intelligent Chances, and Then Take Responsibility. He recognises the right risks as the ones that present the possibility of a high payoff, have manageable downsides, take advantage of his demonstrated strengths and resources and neutralises his competition.
In any business situation, the apprentice knows that he only has a certain number of hours to work on it, so it makes sense to Advance the Most Profitable Deal. Business propositions that can't be expected to realistically deliver a minimum level of profit are a dime a dozen - he recognises those.
The apprentice will Negotiate Tough but flexibly, remembering every negotiating partner is different, thus no two negotiations will be alike. So, he researches beforehand, adapts his strategy to the person he is talking to, pushes when he can and walks away when he should.
The TV series is dramatic and addictive for its soap-opera-like quality, the way knives are constantly being hurled into the backs of rivals, metaphorically of course.
The authors of this book appear to have cleverly gleaned the lessons from the series - presumably towards good profit. So that after the show ends, you can still hold in your hands the book, 10 Secrets I Learned from The Apprentice, to be referred to again and again in quieter moments.
Nothing new, but still good business principles .......2004-08-20
I picked this one up in fond memories of the Apprentice's first season and after a quick flip through the pages. Though the book presents nothing new in terms of concepts, they're certainly tried and true maxims of business.
The lessons don't appear to be "learned" from the show so much as the writers picked 10 lessons and supported them with Apprentice asides. Does this matter? No. But I was expecting much more Apprentice analysis and specific examples of actions and their resulting successes and failures.
The bottom line: a fun, quick read during spare time, but it could have been more.
Book Description
Written in an informal and non-technical style, this book first explains the theory behind logistic regression and then shows how to implement it using the SAS System. Allison includes several detailed, real-world examples of the social sciences to provide readers with a better understanding of the material. He also explores the differences and similarities among the many generalizations of the logistic regression model.
Customer Reviews:
Must have book for the SAS user.......2007-09-15
In the first place, I am a pathologist writing a review on a book on statistics. That, by itself, will raise a few eyebrows. Few pathologists, in my opinion, understand statistical jargon. Yet, I would recommend this $40 book to even a novice in pathology who wants to do logistic regression modeling. While this books does explain logistic regression like most other books, what sets this book apart, are the real-world examples and the simple SAS code included with each example?
I have specifically been able understand GEE modeling only in this book, as compared to the numerous other books, where I find the statistical jargon intimidating; so much so that, I have ended up getting confused even after a couple of hours worth of intense reading. If you are devoted SAS user, you have probably read this book already. But if you are a novice pathologist and want to start learning a new program, I would advise Stata rather than SAS. SAS, in my opinion is code heavy. Yet, this book will be very useful to understand the varied uses of logistic regression (from exact to GEE analyses, especially from a pathologist's perspective). All discussions are to the point without too much jargon. For $40 this book is great value. I am just waiting to see if a newer version comes up in the near future.
Allison's logistic regression book.......2006-11-10
Paul Allison's book on logistic regression is a wonderful introduction to logistic regression. He manages to be rigorous, and yet present the material in an easy-to-understand manner. This would be a useful book even for non-SAS users who want to use logistic regression. As a SAS user, I find it indispensable.
The only drawback is that it has not been updated to cover the capabilities of newer versions of SAS.
Show me how.......2001-08-08
It is always nice to have an example. This is what this book gives you. It also gives you options. SAS commands are written clearly. It still can not be your only logistic regression book. You will need other books to have a better understanding of logistic regression.
You can get by with just this one.......2000-10-15
If you need to understand logistic regression analysis and you must do it in SAS, then you must have this book.
Gives clear, concise explanation of logistic regression, how to accomplish it in SAS, and explains the details of the SAS results.
This book had me up and running in short order.
Incredibly Helpful.......2000-02-06
I had used this author's SAS book on survival analysis before, so I was expecting another virtuoso performance when this book came out. And I was not disappointed. The book is incredibly useful, provides clear examples, makes you feel like you really understand the statistics, provides voluminous SAS code to illustrate how to implement analyses, and even teaches you a few tricks about how to handle unusual data problems along the way. Highly recommended, even if you don't use SAS!
Book Description
Learn to perform a wide variety of regression analyses using SAS software with this example-driven revised favorite from SAS Publishing. With this third edition you will learn the basics of performing regression analyses using a wide variety of models including nonlinear models. Other topics include performing linear regression analyses using PROVC REG and diagnosing and providing remedies for data problems, including outliers and multicollinearity. Examples feature numerous SAS procedures including REG, PLOT, GPLOT, NLIN, RSREG, AUTOREG, PRINCOMP, and others. A helpful discussion of theory is supplied where necessary. Some knowledge of both regression and the SAS System are assumed. The updated third edition includes revisions, updated material, and new material. You'll find information on using SAS/INSIGHT software, regression with a binary response with emphasis on PROC LOGISTIC, and nonparametric regression (smoothing) using moving averages and PROC LOESS. Additionally, updated material throughout the book includes high-resolution PROC REG graphics output, data sets by the OUTEST option described and illustrated, and using PROC SCORE to predict another data set.
Supports releases 6.12 and higher of SAS software.
Customer Reviews:
It's very useful.......2006-11-06
Do you wanna learn using Sas and regression? It's a very good book to start. It also include some mathmetical equation imply process. So do not be afraid of the math things. I like this book.
Great entry level book.......2003-08-30
This book is great for anyone with some general knowledge on Linear Regression and limited experience with SAS. The book does an excellent job explaining the SAS output (which is not always very intuitive).
Book Description
Packed with step-by-step examples, this book shows you how to use the SAS System to perform logistic, probit, and conditional logistic regression analyses. This book enables statisticians, researchers, and new students to learn from the set of examples so that they can perform their own analyses and produce and understand the output. This book focuses on the LOGISTIC procedure but also contains examples that use the CATMOD, GENMOD, PHREG, and PROBIT procedures in SAS/STAT software.
Customer Reviews:
3 1/2 Typically Terse; Mostly for Experts.......2005-03-10
Generally speaking, logistic regression is a statistical technique that tries to explain or predict a dichotomous outcome (e.g., two levels, as in yes/no, succeed/fail, heal/don't heal) from a set of independent variables. For example, we could code quitting smoking as a '1' and not quitting as a '0'. Your outcome (a 1 or a 0 on smoking) may be related (in this hypothetical example) to frequency of smoking, smoking history, physiological and/or psychological features, treatment, or other factors. Logistic regression is used both to describe and to predict such outcomes. The book states this definition once, though not as clearly as the preceeding, then takes off into the mathematics:
"This logistic regression equation models the logit transformation of the ith individual's event probability, p(subscript i) as a linear function of the explanatory variables in the vector, x (subscript i)."
The text gets much more difficult than that.
The SAS Institute's manual on 'Logistic Regression' is most useful for people who already understand a great deal of the rationale and the statistics behind logistic regression. For them, the book's main advantage is its explanation of printed output, and coverage of several related topics. Most importantly, it provides problem examples related to logistic regression, and annotated SAS programs to solve them.
Even the easiest sections of the book assume at least a college-level background in stats, and many sections seem to require post-graduate expertise. There is very little explanation or teaching going on here, and the chapters on various log. reg. applications are simply too brief to learn from. At its most general level, then, it's a user guide for understanding output. For the the very experienced, it's a reference for interpreting output, as a template for writing task-specific SAS log. reg. programs, and for understanding and choosing among various SAS logistic regression techniques. Even experienced users will find some of the explanations lacking, however. For example, the chapter on ROC analysis is out of date, and cites two refences only (the most recent of which is from 1982). Given that this is a growing statistical area, this is just not enough. Other areas are give adequate, although short explanations, and would be quite useful for someone wanting a quick reference.
The book provides nine sample datasets dealing with comsumer choice and medical data. Topics and "examples" include fitting a binary logistic regression model, computing confidence limits, computing customized odds ratios, computing predicted probabilities and classifying observations, creating classification tables, using model selection methods in logistic regression, computing fit tests, producing regression diagnostics, correcting for overdispersion, displaying an ROC curve, ordinal responses, 1:1 matched Data, N:M matched data, fitting interactions, estimating discrete choice probabilities with a mulitnomial logit model, probit analysis for estimating an LD50, and fitting a Bradley-Terry model for paired comparisons. Hopefully, the preceeding list will give you an idea of whether this book is right for you.
This is a great start.......2000-04-15
To start a career in clinical biostatistics field, with minimal computer background, this book is a great help !
Examples -- Just the Examples.......2000-04-12
I purchased this book because I needed to do a large number of logistic regression runs for my dissertation. It does an excellent job in going through all the SAS code you need in order to write good logistic regression equations. However, I was disappointed by the very limited discussion surrounding the application of the models. Fortunately, it does provide useful references.
The book is useful because it goes beyond the SAS user manuals in explaining how to program logistic regressions and what SAS's output is describing. However, if you do not already have a good understanding of logistic regression, (i.e. you had one lecture on it in your research methods class) you might be better off with something along the lines of Logistic Regression Using the SAS System: Theory and Application by Paul Allison. (I have no affiliation with Dr. Allison.)
Average customer rating:
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Logistic Regression Examples Using the Sas System, Version 6, Pdf Format
Manufacturer: Sas Inst
ProductGroup: Book
Binding: Paperback
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ASIN: 1580258247 |
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