找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Statistical Challenges in Astronomy; Eric D. Feigelson,G. Jogesh Babu Conference proceedings 2003 Springer Science+Business Media New York

[复制链接]
查看: 54718|回复: 66
发表于 2025-3-21 18:39:04 | 显示全部楼层 |阅读模式
书目名称Statistical Challenges in Astronomy
编辑Eric D. Feigelson,G. Jogesh Babu
视频videohttp://file.papertrans.cn/877/876382/876382.mp4
图书封面Titlebook: Statistical Challenges in Astronomy;  Eric D. Feigelson,G. Jogesh Babu Conference proceedings 2003 Springer Science+Business Media New York
描述.Digital sky surveys, high-precision astrometry from satellite data, deep-space data from orbiting telescopes, and the like have all increased the quantity and quality of astronomical data by orders of magnitude per year for several years. Making sense of this wealth of data requires sophisticated statistical techniques. Fortunately, statistical methodologies have similarly made great strides in recent years. Powerful synergies thus emerge when astronomers and statisticians join in examining astrostatistical problems and approaches...The book begins with an historical overview and tutorial articles on basic cosmology for statisticians and the principles of Bayesian analysis for astronomers. As in earlier volumes in this series, research contributions discussing topics in one field are joined with commentary from scholars in the other. Thus, for example, an overview of Bayesian methods for Poissonian data is joined by discussions of planning astronomical observations with optimal efficiency and nested models to deal with instrumental effects...The principal theme for the volume is the statistical methods needed to model fundamental characteristics of the early universe on its larges
出版日期Conference proceedings 2003
关键词Astrometry; Astronomical Observation; Cluster analysis; Cosmology; Galaxy; Star; Time series; Universe; astr
版次1
doihttps://doi.org/10.1007/b97240
isbn_softcover978-1-4419-3048-4
isbn_ebook978-0-387-21529-7
copyrightSpringer Science+Business Media New York 2003
The information of publication is updating

书目名称Statistical Challenges in Astronomy影响因子(影响力)




书目名称Statistical Challenges in Astronomy影响因子(影响力)学科排名




书目名称Statistical Challenges in Astronomy网络公开度




书目名称Statistical Challenges in Astronomy网络公开度学科排名




书目名称Statistical Challenges in Astronomy被引频次




书目名称Statistical Challenges in Astronomy被引频次学科排名




书目名称Statistical Challenges in Astronomy年度引用




书目名称Statistical Challenges in Astronomy年度引用学科排名




书目名称Statistical Challenges in Astronomy读者反馈




书目名称Statistical Challenges in Astronomy读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 23:44:52 | 显示全部楼层
ed the quantity and quality of astronomical data by orders of magnitude per year for several years. Making sense of this wealth of data requires sophisticated statistical techniques. Fortunately, statistical methodologies have similarly made great strides in recent years. Powerful synergies thus eme
发表于 2025-3-22 02:24:53 | 显示全部楼层
发表于 2025-3-22 06:00:55 | 显示全部楼层
Hierarchical Models, Data Augmentation, and Markov Chain Monte Carlo,ly pushing beyond the capabilities of the “classical” data-analysis methods in common use. In this chapter we discuss the use of highly structured models that not only incorporate the scientific model (e.g., for a source spectrum) but also account for stochastic components of data collection and the
发表于 2025-3-22 12:23:27 | 显示全部楼层
发表于 2025-3-22 13:36:38 | 显示全部楼层
Bayesian Model Selection and Analysis for Cepheid Star Oscillations,r absolute luminosity. Once this relationship has been calibrated, knowledge of the period gives knowledge of the luminosity. This makes these stars useful as “standard candles” for estimating distances in the universe. Available data consists of photometric and velocity information for a number of
发表于 2025-3-22 18:08:07 | 显示全部楼层
发表于 2025-3-23 00:18:00 | 显示全部楼层
发表于 2025-3-23 05:00:49 | 显示全部楼层
Statistical and Astronomical Challenges in the Sloan Digital Sky Survey, in five photometric bands, and a pair of multi-object spectrographs to measure redshifts for 10. galaxies and 10. quasars. I describe some of the recent scientific results from the survey, focusing on quasars and galaxies, with an emphasis on the statistical challenges that they raise. The data are
发表于 2025-3-23 07:05:26 | 显示全部楼层
Challenges for Cluster Analysis in a Virtual Observatory, through large digital sky surveys. Virtual Observatory (VO) concept represents a scientific and technological framework needed to cope with this data flood. We review some of the applied statistics and computing challenges posed by the analysis of large and complex data sets expected in the VO-base
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-3 19:57
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表