Modern Statistical Methods for Astronomy: With R Applications

Modern Statistical Methods for Astronomy: With R Applications
ISBN-10
052176727X
ISBN-13
9780521767279
Category
Science
Pages
476
Language
English
Published
2012-07-12
Publisher
Cambridge University Press
Authors
Eric D. Feigelson, G. Jogesh Babu

Description

"Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Yet most astronomers still use a narrow suite of traditional statistical methods. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to advanced statistics through ready-to-use code in the public-domain R statistical software environment"--

Other editions

Similar books

  • Modern Statistical Methods for Astronomy: With R Applications
    By Eric D. Feigelson

    Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to advanced statistics through ready-to-use code in the public-domain R statistical software environment."--

  • Astrostatistics
    By Gutti Jogesh Babu, E.D. Feigelson

    For astronomers, they introduce the statistical principles of nonparametrics, multivariate analysis, time series analysis, density estimation, and resampling methods. The second half of the book is organized by statistical topic.

  • Statistical Methods for Physical Science

    This volume of Methods of Experimental Physics provides an extensive introduction to probability and statistics in many areas of the physical sciences, with an emphasis on the emerging area of spatial statistics.

  • Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data
    By Željko Ivezić, Andrew J. Connolly, Alexander Gray

    ... μ F = F(ρ) and a standard deviation σF = (N − 3)−1/2. For the above sample with N = 10 and r = 0.72, this approximate approach gives a significance level of 0.8% when ρ = 0 (instead of the exact value of 1%). Pearson's correlation ...

  • Modern Statistics for Modern Biology
    By Wolfgang Huber, SUSAN. HUBER HOLMES

    Some multivariate methods have been specifically designed to decompose the variability between codon usage within the differently abundantamino acids (Grantham et al., 1981; Perrière and Thioulouse, 2002), and this enables discovery of ...

  • Astrostatistical Challenges for the New Astronomy
    By Joseph M. Hilbe

    Astrostatistical Challenges for the New Astronomy presents a collection of monographs authored by several of the disciplines leading astrostatisticians, i.e. by researchers from the fields of statistics and astronomy-astrophysics, who work ...

  • Practical Statistics for Astronomers
    By J. V. Wall

    "Astronomy, like any experimental subject, needs statistical methods to interpret data reliably. This practical handbook presents the most relevant statistical and probabilistic machinery for use in observational astronomy.

  • Observational Astronomy: Techniques and Instrumentation
    By Edmund C. Sutton

    This book is a comprehensive review of current observational techniques and instruments.

  • Statistical Challenges in Modern Astronomy
    By Eric D. Feigelson, G.Jogesh Babu

    This book is the result of a workshop held at Pennsylvania State University in August 1991 that brought together leading astronomers and statisticians to consider statistical challenges encountered in modern astronomical research.

  • Statistical Analysis of Circular Data
    By N. I. Fisher

    A unified, up-to-date account of circular data-handling techniques, useful throughout science.