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eBook Practical Statistics for Astronomers (Cambridge Observing Handbooks for Research Astronomers) epub

by C. R. Jenkins,J. V. Wall

eBook Practical Statistics for Astronomers (Cambridge Observing Handbooks for Research Astronomers) epub
  • ISBN: 0521454166
  • Author: C. R. Jenkins,J. V. Wall
  • Genre: Science
  • Subcategory: Astronomy & Space Science
  • Language: English
  • Publisher: Cambridge University Press (November 24, 2003)
  • Pages: 294 pages
  • ePUB size: 1373 kb
  • FB2 size 1995 kb
  • Formats docx azw lit rtf


neat little book that's a pleasure to read and a blessing to have handy for reference.

Recommend to librarian. This practical handbook presents the most relevant statistical and probabilistic machinery for use in observational astronomy. Classical parametric and non-parametric methods are covered, but there is a strong emphasis on Bayesian solutions and the importance of probability in experimental inference. Chapters cover basic probability, correlation analysis, hypothesis testing, Bayesian modelling, time series analysis, luminosity functions, and clustering. neat little book that's a pleasure to read and a blessing to have handy for reference.

Wall and Jenkins have produced an excellent introduction to astrostatistics, the discipline that is foremost interested in the statistical analysis of astronomical data

Wall and Jenkins have produced an excellent introduction to astrostatistics, the discipline that is foremost interested in the statistical analysis of astronomical data. The book is clearly written for astronomers and for students in astronomy. However, it is also of good value to statisticians who already understand the statistics, but not necessarily the appropriate application of various statistical analyses to astronomical and cosmological data. I found the book most useful to myself in that respect.

Practical Statistics for Astronomers. J. V. Wall, C. R. Jenkins. Published online: 05 June 2012. Print publication: 26 April 2012. The handbook begins with x-ray optics, basic detector physics and CCDs, before focussing on data analysis. It introduces the reduction and calibration of x-ray data, scientific analysis, archives, statistical issues and the particular problems of highly extended sources. The book describes the main hardware used in x-ray astronomy, emphasizing the implications for data analysis.

Practical Statistics for Astronomers book.

Astronomy, like any experimental subject, needs statistical methods to interpret data reliably.

V. Presenting the most relevant statistical and probabilistic technology in observational astronomy, this practical handbook covers classical parametric and non-parametric methods. There is also, however, a strong emphasis on Bayesian solutions and the importance of probability in experimental inference. Download (pdf, . 8 Mb) Donate Read. Epub FB2 mobi txt RTF.

Practical statistics for astronomers Wall, . This handbook helps astronomers analyze the complex data and models of modern astronomy. Cambridge Academ 9780521456166 : Presents the most relevant statistical and probabilistic machinery for use in observational astro. Chapters cover basic probability, correlation analysis, hypothesis testing, Bayesian modelling, time series analysis, luminosity functions and clustering. Wall This handbook helps astronomers analyze the complex data and models o. . Practical statistics for astronomers. Modern statistical methods for astronomy: with R applications Hubble’s universe: greatest discoveries and latest images.

Presenting the most relevant statistical and probabilistic technology in observational astronomy, this practical handbook covers classical parametric and non-parametric methods. There is also, however, a strong emphasis on Bayesian solutions and the importance of probability in experimental inference. The book contains many solved examples, and includes over fifty problems, with solutions available on the web via http://books.cambridge.org/0521454166.htm.
Comments: (3)
MilsoN
This book is an excellent short text for learning statistics for professional astronomers. In contrast to other (even "astronomy-oriented") stats books, the examples and even the text in this book is clearly aimed at what working astronomers need to know about a particular subject. In that sense it is truly very practical. This may mean it is not ideally suited to an e.g. undergraduate level stats course (even for astronomers), because it is a bit light on the statistical foundations. But I had never had a formal stats class before picking up this book, and I had no trouble following it as long as I occasionally referred to other sources to remind myself of fundamentals.

It also does a great job presenting both Bayesian and frequentist approaches (although it's generally a bit
Risinal
I'm a professional astronomer (remaining anonymous out of shame for my lack of statistical knowledge). I have found this book immensely useful in my data analysis and very straightforward. It is geared toward astronomical research, so is likely not as useful or illuminating for those unfamiliar with our data analysis. The explanations are straightforward and written in a pleasant tone (e.g., the reassuring "That's it." concluding the algorithm for bootstrapping).

If you are involved in professional astronomical research, this is truly practical statistics for you. If you are just casually interested in astronomy or are in another discipline and just want to learn statistics, I'd suggest passing this book by.
Voodoozragore
This book appears to be written for people who already completely understand statistics, in which case they probably don't need this book. I'm someone with a undergrad-level understanding of statistics and astronomy and this book does little to further my understanding of either. I wish the authors had taken more care in explaining the subject matter and notation. I didn't expect this to be an introductory statistics book, but IMHO the word "practical" should not be in the title. Unless you have an advanced understanding of statistics, this book is not helpful.
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