Author:
Feigelson, Eric D.
Imprint:Cambridge ; New York : Cambridge University Press, 2012.
Descriptionxviii, 476 p. : ill. (some col.) ; 26 cm.
Note:Probability -- Statistical inference -- Probability distribution functions -- Nonparametric statistics -- Data smoothing : density estimation -- Regression -- Multivariate analysis -- Clustering, classification, and data mining -- Nondetections : censored and truncated data -- Time series analysis -- Spatial point processes.
Bibliography Note:Includes bibliographical references (p. 434-461) and index.
Note:"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"--Provided by publisher.
