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Statistical Challenges in Modern Astronomy II (1997)

Statistical Challenges in Modern Astronomy II

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"Statistical Challenges in Modern Astronomy II" by G. Jogesh Babu, Eric D. Feigelson is a mathematics book and learning resource focused on General Astronomy. Best for teachers, students, and readers looking for stronger mathematical understanding.

Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers. The Statistical Challenges in Modern Astronomy II conference brought astronomers and statisticians together to discuss methodological issues of common interest. Time series analysis, image analysis, Bayesian methods, Poisson processes, nonlinear regression, maximum likelihood, multivariate classification, and wavelet and multiscale analyses were all important themes. Many problems were introduced at the conference in the context of large-scale astronomical projects including LIGO, AXAF, XTE, Hipparcos, and digitised sky surveys. As such, this volume will be of interest to researchers and advanced students in both fields - astronomers seeking exposure to recent developments in statistics, and statisticians interested in confronting new problems.

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Best For: Researchers and students in astronomy and statistics interested in methodological approaches to data analysis.
Focus: Statistical methods applied to modern astronomical data challenges.
Covers: Time series analysis, image analysis, Bayesian methods, Poisson processes, nonlinear regression, maximum likelihood, and multivariate classification.
Why It Matters: Addresses the intersection of astronomy and statistics to improve data interpretation and research outcomes in modern astronomy.

"Statistical Challenges in Modern Astronomy II" by G. Jogesh Babu, Eric D. Feigelson is a mathematics book and learning resource focused on General Astronomy. Best for teachers, students, and readers looking for stronger mathematical understanding.

Topic: General Astronomy

Author: G. Jogesh Babu, Eric D. Feigelson

Who this is for:

  • Teachers and classroom instructors
  • Students building subject mastery
  • Readers looking for practical learning support

Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.

Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers. The Statistical Challenges in Modern Astronomy II conference brought astronomers and statisticians together to discuss methodological issues of common interest. Time series analysis, image analysis, Bayesian methods, Poisson processes, nonlinear regression, maximum likelihood, multivariate classification, and wavelet and multiscale analyses were all important themes. Many problems were introduced at the conference in the context of large-scale astronomical projects including LIGO, AXAF, XTE, Hipparcos, and digitised sky surveys. As such, this volume will be of interest to researchers and advanced students in both fields - astronomers seeking exposure to recent developments in statistics, and statisticians interested in confronting new problems.

AuthorG. Jogesh Babu, Eric D. Feigelson
PublisherSpringer
Published1997-06-27
ISBN-139780387982038
BindingHardcover
Pages496
LanguageEnglish
SubjectsMathematics
TopicGeneral Astronomy

Format: Hardcover

Length: 496 pages

Language: English

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