"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"--
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."--
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.
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.
... 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 ...
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 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 ...
"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.
This book is a comprehensive review of current observational techniques and instruments.
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.
A unified, up-to-date account of circular data-handling techniques, useful throughout science.