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Concise Manual of Hematology and Oncology
174,49 € *
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Erscheinungsdatum: 09.06.2008, Medium: Buch, Einband: Gebunden, Titel: Concise Manual of Hematology and Oncology, Auflage: 2008, Redaktion: Berger, Dietmar P. // Engelhardt, Monika // Henß, Hartmut // Mertelsmann, Roland, Verlag: Springer Berlin Heidelberg // Springer Berlin, Sprache: Englisch, Schlagworte: Hämatologie // Krebs // Krankheit // Onkologie // Radioonkologie, Rubrik: Medizin // Andere Fachgebiete, Seiten: 1028, Informationen: HC runder Rücken kaschiert, Gewicht: 1528 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 01.06.2020
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Auto Correct: Maintaining Your Vehicle , Hörbuc...
9,95 € *
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You tired of constant breakdowns? What about the high cost of repair? Auto Correct is your answer. Learn to do DIY maintenance to keep your vehicle running.This book covers "basic" maintenance. It's not a repair manual. Keeping your car maintained is the sole purpose of this book, by covering things that your car needs to help with the upkeep. What makes me qualified? It's called hands-on experience. No, I didn't go to college for a degree. I learned by driving junk. How can I help? I've been working on cars/trucks for over 25 years and by following the steps in this book, you can do daily, weekly and monthly maintenance to your vehicles that will help you save money in the long run. What you will learn in this book? How to spot things that need maintained:EnginesTransmissionOil/FiltersTires/BrakesHoses/ClampsTiming/WiringCarburetor/Fuel PumpBelts/TensionersHinges/Door/LocksBattery/AlternatorMufflers/LubricatingFuses/ElectricalBonus: What to look for when buying your next vehicle.Buy it now! 1. Language: English. Narrator: Chris Berger. Audio sample: http://samples.audible.de/bk/acx0/169059/bk_acx0_169059_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 01.06.2020
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Stamp Catalog
29,00 € *
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High Quality Content by WIKIPEDIA articles! A stamp catalog (or stamp catalogue) is a catalog of postage stamp types with descriptions and prices.The stamp catalog is an essential tool of philately and stamp collecting. Stamp catalogs are part of philatelic literature.The first stamp catalog was published in France by Oscar Berger-Levrault on 17 September 1861 and the first illustrated catalog by Alfred Potiquet in December 1861 (based on the earlier work).The first catalogs in Great Britain were published in 1862 by Frederick Booty, Mount Brown, and Dr. John Edward Gray.The first in the United States was The Stamp Collector's Manual by A.C. Kline (a pseudonym for John William Kline), also 1862.Older catalogs are still widely used by collectors as they may contain information not found in current catalogs and not all collectors are concerned about prices.

Anbieter: Dodax
Stand: 01.06.2020
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McLaren MP4/6
49,00 € *
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High Quality Content by WIKIPEDIA articles! The McLaren MP4/6 is a Formula One racecar that was designed by Neil Oatley for the 1991 F1 season. It was the first McLaren to be powered by a Honda V12 engine. The car was tested by Gerhard Berger in the off season, but he was unimpressed with the new engine, feeling it was underpowered for what it was, especially compared to Honda's V10 engine in the previous year's car. When Ayrton Senna returned for pre season testing, he knuckled down to try and solve the engine's problems. McLaren's domination in the early part of the year was mainly due to the lack of reliability of the Williams FW14. The MP4/6 had a manual "H" pattern gearbox, only Ferrari and Williams used semi-automatic gearboxes during 1991. Senna won the first four races of the season, in the USA, an emotional victory in Brazil, San Marino and Monaco before Williams and Nigel Mansell found their feet with their remarkable FW14 car, which dominated in the mid season.

Anbieter: Dodax
Stand: 01.06.2020
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Monte Carlo Statistical Methods
176,00 CHF *
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Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulation techniques, with incorporation of the most recent developments in the field. In particular, the introductory coverage of random variable generation has been totally revised, with many concepts being unified through a fundamental theorem of simulation There are five completely new chapters that cover Monte Carlo control, reversible jump, slice sampling, sequential Monte Carlo, and perfect sampling. There is a more in-depth coverage of Gibbs sampling, which is now contained in three consecutive chapters. The development of Gibbs sampling starts with slice sampling and its connection with the fundamental theorem of simulation, and builds up to two-stage Gibbs sampling and its theoretical properties. A third chapter covers the multi-stage Gibbs sampler and its variety of applications. Lastly, chapters from the previous edition have been revised towards easier access, with the examples getting more detailed coverage. This textbook is intended for a second year graduate course, but will also be useful to someone who either wants to apply simulation techniques for the resolution of practical problems or wishes to grasp the fundamental principles behind those methods. The authors do not assume familiarity with Monte Carlo techniques (such as random variable generation), with computer programming, or with any Markov chain theory (the necessary concepts are developed in Chapter 6). A solutions manual, which covers approximately 40% of the problems, is available for instructors who require the book for a course. Christian P. Robert is Professor of Statistics in the Applied Mathematics Department at Université Paris Dauphine, France. He is also Head of the Statistics Laboratory at the Center for Research in Economics and Statistics (CREST) of the National Institute for Statistics and Economic Studies (INSEE) in Paris, and Adjunct Professor at Ecole Polytechnique. He has written three other books, including The Bayesian Choice, Second Edition, Springer 2001. He also edited Discretization and MCMC Convergence Assessment, Springer 1998. He has served as associate editor for the Annals of Statistics and the Journal of the American Statistical Association. He is a fellow of the Institute of Mathematical Statistics, and a winner of the Young Statistician Award of the Societié de Statistique de Paris in 1995. George Casella is Distinguished Professor and Chair, Department of Statistics, University of Florida. He has served as the Theory and Methods Editor of the Journal of the American Statistical Association and Executive Editor of Statistical Science. He has authored three other textbooks: Statistical Inference, Second Edition, 2001, with Roger L. Berger; Theory of Point Estimation, 1998, with Erich Lehmann; and Variance Components, 1992, with Shayle R. Searle and Charles E. McCulloch. He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association, and an elected fellow of the International Statistical Institute.        

Anbieter: Orell Fuessli CH
Stand: 01.06.2020
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Monte Carlo Statistical Methods
99,99 € *
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Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulation techniques, with incorporation of the most recent developments in the field. In particular, the introductory coverage of random variable generation has been totally revised, with many concepts being unified through a fundamental theorem of simulation There are five completely new chapters that cover Monte Carlo control, reversible jump, slice sampling, sequential Monte Carlo, and perfect sampling. There is a more in-depth coverage of Gibbs sampling, which is now contained in three consecutive chapters. The development of Gibbs sampling starts with slice sampling and its connection with the fundamental theorem of simulation, and builds up to two-stage Gibbs sampling and its theoretical properties. A third chapter covers the multi-stage Gibbs sampler and its variety of applications. Lastly, chapters from the previous edition have been revised towards easier access, with the examples getting more detailed coverage. This textbook is intended for a second year graduate course, but will also be useful to someone who either wants to apply simulation techniques for the resolution of practical problems or wishes to grasp the fundamental principles behind those methods. The authors do not assume familiarity with Monte Carlo techniques (such as random variable generation), with computer programming, or with any Markov chain theory (the necessary concepts are developed in Chapter 6). A solutions manual, which covers approximately 40% of the problems, is available for instructors who require the book for a course. Christian P. Robert is Professor of Statistics in the Applied Mathematics Department at Université Paris Dauphine, France. He is also Head of the Statistics Laboratory at the Center for Research in Economics and Statistics (CREST) of the National Institute for Statistics and Economic Studies (INSEE) in Paris, and Adjunct Professor at Ecole Polytechnique. He has written three other books, including The Bayesian Choice, Second Edition, Springer 2001. He also edited Discretization and MCMC Convergence Assessment, Springer 1998. He has served as associate editor for the Annals of Statistics and the Journal of the American Statistical Association. He is a fellow of the Institute of Mathematical Statistics, and a winner of the Young Statistician Award of the Societié de Statistique de Paris in 1995. George Casella is Distinguished Professor and Chair, Department of Statistics, University of Florida. He has served as the Theory and Methods Editor of the Journal of the American Statistical Association and Executive Editor of Statistical Science. He has authored three other textbooks: Statistical Inference, Second Edition, 2001, with Roger L. Berger; Theory of Point Estimation, 1998, with Erich Lehmann; and Variance Components, 1992, with Shayle R. Searle and Charles E. McCulloch. He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association, and an elected fellow of the International Statistical Institute.        

Anbieter: Thalia AT
Stand: 01.06.2020
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Monte Carlo Statistical Methods
79,99 € *
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Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulation techniques, with incorporation of the most recent developments in the field. In particular, the introductory coverage of random variable generation has been totally revised, with many concepts being unified through a fundamental theorem of simulation There are five completely new chapters that cover Monte Carlo control, reversible jump, slice sampling, sequential Monte Carlo, and perfect sampling. There is a more in-depth coverage of Gibbs sampling, which is now contained in three consecutive chapters. The development of Gibbs sampling starts with slice sampling and its connection with the fundamental theorem of simulation, and builds up to two-stage Gibbs sampling and its theoretical properties. A third chapter covers the multi-stage Gibbs sampler and its variety of applications. Lastly, chapters from the previous edition have been revised towards easier access, with the examples getting more detailed coverage. This textbook is intended for a second year graduate course, but will also be useful to someone who either wants to apply simulation techniques for the resolution of practical problems or wishes to grasp the fundamental principles behind those methods. The authors do not assume familiarity with Monte Carlo techniques (such as random variable generation), with computer programming, or with any Markov chain theory (the necessary concepts are developed in Chapter 6). A solutions manual, which covers approximately 40% of the problems, is available for instructors who require the book for a course. Christian P. Robert is Professor of Statistics in the Applied Mathematics Department at Université Paris Dauphine, France. He is also Head of the Statistics Laboratory at the Center for Research in Economics and Statistics (CREST) of the National Institute for Statistics and Economic Studies (INSEE) in Paris, and Adjunct Professor at Ecole Polytechnique. He has written three other books, including The Bayesian Choice, Second Edition, Springer 2001. He also edited Discretization and MCMC Convergence Assessment, Springer 1998. He has served as associate editor for the Annals of Statistics and the Journal of the American Statistical Association. He is a fellow of the Institute of Mathematical Statistics, and a winner of the Young Statistician Award of the Societié de Statistique de Paris in 1995. George Casella is Distinguished Professor and Chair, Department of Statistics, University of Florida. He has served as the Theory and Methods Editor of the Journal of the American Statistical Association and Executive Editor of Statistical Science. He has authored three other textbooks: Statistical Inference, Second Edition, 2001, with Roger L. Berger; Theory of Point Estimation, 1998, with Erich Lehmann; and Variance Components, 1992, with Shayle R. Searle and Charles E. McCulloch. He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association, and an elected fellow of the International Statistical Institute.        

Anbieter: Thalia AT
Stand: 01.06.2020
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