PDF Download Jim Clark at the Wheel: the World Motor Racing Champion's Own Story

PDF Download Jim Clark at the Wheel: the World Motor Racing Champion's Own Story

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Jim Clark at the Wheel: the World Motor Racing Champion's Own Story

PDF Download Jim Clark at the Wheel: the World Motor Racing Champion's Own Story

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Product details

Hardcover: 208 pages

Publisher: Arthur Barker Ltd; First Edition edition (1964)

ASIN: B0000CM65A

Package Dimensions:

9.1 x 6.6 x 1.1 inches

Shipping Weight: 1.6 pounds

Average Customer Review:

5.0 out of 5 stars

4 customer reviews

Amazon Best Sellers Rank:

#691,922 in Books (See Top 100 in Books)

I have read many racing drivers’ biographies, but no doubt this is the best, just the way Clark tells it,is amazing perhaps because of his passion for cars and details about them or the way he used to concentrate on everything he did and probably did so in this book. I first read this book in 1965 and read again now, 52 years later and greatly enjoyed it again.

The book gives details that only the subject, himself would know.I enjoyed it very much. His early death was a tragic loss not only to his family, but to all fans of the world of Formula racing!

I bought this book as part of a Christmas present for my husband as he is a HUGE Jim Clark fan. However, I couldn't wait to pass it on to him, as I knew he would devour it! And sure enough............!!!

This book begins on a farm where Jim's father pulls him from school at 16 hands him a stick and a dog and sends him out to tend 800 sheep with the other hired shepherd. Other activities on the 1400 acres are cattle, barley, wheat, oats, potatoes, turnips, etc. At ten he was driving an Alvis Speed Twenty in addition to tractors and an Austin Seven. At Crimond in North East Scotland on June 16, 1956 he drove his very first car race behind the wheel of a DKW "sonderklasse" finishing 8th. He won his next 4 races. (By the way, the first I car I ever drove was a 50 dollar DKW.) He then drove Sunbeam, Porsche 1600S, D-Jaguar, Triumph TR3 until 12/26/58 when he drove a Lotus Elite for Colin Chapman and hit the big time. Other highlights are 1960: At the LeMans 24 hr race, Clark drove an Aston Martin DBR1 to 3rd overall, while 6 Ferrari 250s finished 1-2, and 4-7. 1962: In March Daytona500 winner Fireball Roberts let Clark borrow his Pontiac for practice laps at Daytona. In October, Clark borrowed Taylor's 175bhp Lotus-Climax for 100 practice laps at Indy with a fastest lap of 143. Dan Gurney convinced Chapman to extend the Lotus 25 to 8 feet (Indy minimum) and convinced Ford to build an aluminum 4.2 litre Fairlane V8 351bhp. 1963: In March at the Ford proving ground 5 mile oval in Kingman, Arizona, Gurney and Clark did 165mph laps in the Lotus 25. After adding longer outside wishbones and 6 fuel tanks to meet the 50 gal. minimum both qualified in front of 200,000 spectators ten days before the race. "The middle of the second row of the starting grid, all around me were these giant cars. When all 33 cars were sorted out, I was well back in the field, about 11th, there was nothing but smoke, dust and the roar of engines. I found myself behind Gurney for a few laps watching to see how we were to pass these monsters and after about 30 laps I set out after the leader Parnelli Jones with his Offenhauser AJ Watson Special. I could get quite a drag on the straights but the big cars took up an awful lot of road in the turns and I had great difficulty in getting past. When Parnelli went in I found myself leading. I did make a dive for fuel and tires and back in the race I was 50 seconds behind Jones. I was knocking off a second per lap. Parnelli was with the yellow lights when the time came round for his second and third stops. I came within 4 seconds of him, there was smoke from his car and oil appeared making the track very slippery. I felt sure he wouldn't finish. I was happy to finish second." Later in 1963 Clark became the youngest ever Grand Prix World Champion with the Lotus25. He also came within a few laps of winning the 1962 and 1964 World Championships. In 1965 he became the only ever to win both in the same year, winning the Indy 500 with the Lotus 38 as we sat in the Paramount theatre with closed circuit television, which we did every year on Memorial day while Chris Economaki provided the entertainment. In 1966 Clark finished 2nd to Graham Hill at Indy. He raced in an era when race cars were works of art and victory went to the most skillful, not to the one in the most technologically advanced machine, before the evolution of safety standards spearheaded in great part by Jackie Stewart. More of Clark can be seen in the dvd Grand Prix that covers the 1966 season. He is in first row car#4 British racing green Lotus 33 at the Monaco GP. Begining 12/21/66, I attended this film 5 times at the Cooper Cinerama. Starring Jim Clark with co-stars Jim Garner (Pete Aron) wearing Chris Amon's Honda Helmet, and 3 other actors: Scott Stoddard borrows Jackie Stewart's BRM helmet, Jean Sarti wears John Surtees Ferrari helmet and Nino Barlini wears Lorenzo Bandini's Ferrari helmet. In 1961 the first of 3 Super Cinerama theatres was built on Colorado blvd in Denver which was considered the finest venue to view a Cinerama film, now the site of a Barnes and Noble Bookstore. The movie Grand Prix won 3 Academy Awards for Best Effects, Best Editing and Best Sound in 1967. Since then I have been to 20 Formula One races and the 2006 Indy500. Be sure to check out the Eddie Rickenbacker memorial in the Speedway Museum and take the tour bus around the 2 ½ mile oval. An excellent Indy500 film is Mickey Rooney's Big Wheel that covers the 1949 race.

Jim Clark at the Wheel: the World Motor Racing Champion's Own Story PDF
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Jim Clark at the Wheel: the World Motor Racing Champion's Own Story PDF

Jim Clark at the Wheel: the World Motor Racing Champion's Own Story PDF

Jim Clark at the Wheel: the World Motor Racing Champion's Own Story PDF

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Free Ebook Statistical Models: Theory and PracticeBy David A. Freedman

Free Ebook Statistical Models: Theory and PracticeBy David A. Freedman

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Statistical Models: Theory and PracticeBy David A. Freedman

Free Ebook Statistical Models: Theory and PracticeBy David A. Freedman

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This lively and engaging textbook explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The author, David A. Freedman, explains the basic ideas of association and regression, and takes you through the current models that link these ideas to causality. The focus is on applications of linear models, including generalized least squares and two-stage least squares, with probits and logits for binary variables. The bootstrap is developed as a technique for estimating bias and computing standard errors. Careful attention is paid to the principles of statistical inference. There is background material on study design, bivariate regression, and matrix algebra. To develop technique, there are computer labs with sample computer programs. The book is rich in exercises, most with answers. Target audiences include advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modeling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. Features of the book: • authoritative guidance from a well-known author with wide experience in teaching, research, and consulting • careful analysis of statistical issues in substantive applications • no-nonsense, direct style • versatile structure, enabling the text to be used as a text in a course, or read on its own • text that has been thoroughly class-tested at Berkeley • background material on regression and matrix algebra • plenty of exercises, most with solutions • extra material for instructors, including data sets and code for lab projects (available from Cambridge University Press) • many new exercises and examples • reorganized, restructured, and revised chapters to aid teaching and understanding

• Sales Rank: #244879 in Books
• Brand: Brand: Cambridge University Press
• Published on: 2009-04-27
• Released on: 2009-06-25
• Original language: English
• Number of items: 1
• Dimensions: 9.96" h x .94" w x 6.97" l, 1.50 pounds
• Binding: Paperback
• 458 pages

Features

• Used Book in Good Condition

Review
"At last, a second course in statistics that is serious, correct, and interesting. The book teaches regression, causal modeling, maximum likelihood, and the bootstrap. Everyone who analyzes real data should read this book, and we are extremely fortunate to now have the revised edition."
Persi Diaconis, Professor of Mathematics and Statistics, Stanford University

"A pleasure to read, this newly revised edition of Statistical Models shows the field's most elegant writer at the height of his powers. While most textbooks hurry past core assumptions in order to explicate technique, this book places the spotlight on the core assumptions, challenging readers to think critically about how they are invoked in practice."
Donald Green, Professor of Political Science, Yale University

"For three decades, David Freedman has been the conscience of statistics as applied to important scientific, policy, and legal issues. This book is his legacy, and it is our great good fortune to have the new edition. It should be required reading for any user of multivariate models -- statistician or otherwise -- whose ultimate concern is not with statistical technique but rather with the substantive conclusions, if any, licensed by the data and the analysis."
James M. Robins, Professor of Epidemiology and Biostatistics, Harvard School of Public Health

"Statistical models: theory and practice is lucid, helpful, insightful and a joy to read. It focuses on the most common tools of applied statistics with a clear and simple presentation. This revised edition organizes the chapters differently, making reading much easier. Moreover, it includes many new examples and exercises. In summary, it is a nice and extremely useful addition to the statistical literature."
Heleno Balfarine, Mathematical Reviews

About the Author
David A. Freedman is Professor of Statistics at the University of California, Berkeley. He has also taught in Athens, Caracas, Jerusalem, Kuwait, London, Mexico City, and Stanford. He has written several previous books, including a widely used elementary text. He is one of the leading researchers in probability and statistics, with 200 papers in the professional literature. He is a member of the American Academy of Arts and Sciences. In 2003, he received the John J. Carty Award for the Advancement of Science from the National Academy of Sciences, recognizing his 'profound contributions to the theory and practice of statistics'. Freedman has consulted for the Carnegie Commission, the City of San Francisco, and the Federal Reserve, as well as several departments of the US government. He has testified as an expert witness on statistics in law cases that involve employment discrimination, fair loan practices, duplicate signatures on petitions, railroad taxation, ecological inference, flight patterns of golf balls, price scanner errors, sampling techniques, and census adjustment.

Statistical Models: Theory and PracticeBy David A. Freedman PDF
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Statistical Models: Theory and PracticeBy David A. Freedman PDF

Statistical Models: Theory and PracticeBy David A. Freedman PDF

Statistical Models: Theory and PracticeBy David A. Freedman PDF

Statistical Models: Theory and PracticeBy David A. Freedman PDF

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