Aspects of Statistical Inference
A. H. Welsh
Eyl 2011 · John Wiley & Sons
E-kitap
480
Sayfa
reportPuanlar ve yorumlar doğrulanmaz Daha Fazla Bilgi
Bu e-kitap hakkında
Relevant, concrete, and thorough--the essential data-based text onstatistical inference
The ability to formulate abstract concepts and draw conclusionsfrom data is fundamental to mastering statistics. Aspects ofStatistical Inference equips advanced undergraduate and graduatestudents with a comprehensive grounding in statistical inference,including nonstandard topics such as robustness, randomization, andfinite population inference.
A. H. Welsh goes beyond the standard texts and expertly synthesizesbroad, critical theory with concrete data and relevant topics. Thetext follows a historical framework, uses real-data sets andstatistical graphics, and treats multiparameter problems, yet isultimately about the concepts themselves.
Written with clarity and depth, Aspects of Statistical Inference:
* Provides a theoretical and historical grounding in statisticalinference that considers Bayesian, fiducial, likelihood, andfrequentist approaches
* Illustrates methods with real-data sets on diabetic retinopathy,the pharmacological effects of caffeine, stellar velocity, andindustrial experiments
* Considers multiparameter problems
* Develops large sample approximations and shows how to use them
* Presents the philosophy and application of robustness theory
* Highlights the central role of randomization in statistics
* Uses simple proofs to illuminate foundational concepts
* Contains an appendix of useful facts concerning expansions,matrices, integrals, and distribution theory
Here is the ultimate data-based text for comparing and presentingthe latest approaches to statistical inference.
The ability to formulate abstract concepts and draw conclusionsfrom data is fundamental to mastering statistics. Aspects ofStatistical Inference equips advanced undergraduate and graduatestudents with a comprehensive grounding in statistical inference,including nonstandard topics such as robustness, randomization, andfinite population inference.
A. H. Welsh goes beyond the standard texts and expertly synthesizesbroad, critical theory with concrete data and relevant topics. Thetext follows a historical framework, uses real-data sets andstatistical graphics, and treats multiparameter problems, yet isultimately about the concepts themselves.
Written with clarity and depth, Aspects of Statistical Inference:
* Provides a theoretical and historical grounding in statisticalinference that considers Bayesian, fiducial, likelihood, andfrequentist approaches
* Illustrates methods with real-data sets on diabetic retinopathy,the pharmacological effects of caffeine, stellar velocity, andindustrial experiments
* Considers multiparameter problems
* Develops large sample approximations and shows how to use them
* Presents the philosophy and application of robustness theory
* Highlights the central role of randomization in statistics
* Uses simple proofs to illuminate foundational concepts
* Contains an appendix of useful facts concerning expansions,matrices, integrals, and distribution theory
Here is the ultimate data-based text for comparing and presentingthe latest approaches to statistical inference.
Yazar hakkında
A. H. WELSH is a Reader of Statistics at the Australian National University in Canberra, Australia.
Bu e-kitaba puan verin
Düşüncelerinizi bizimle paylaşın.
Okuma bilgileri
Akıllı telefonlar ve tabletler
Android ve iPad/iPhone için Google Play Kitaplar uygulamasını yükleyin. Bu uygulama, hesabınızla otomatik olarak senkronize olur ve nerede olursanız olun çevrimiçi veya çevrimdışı olarak okumanıza olanak sağlar.
Dizüstü bilgisayarlar ve masaüstü bilgisayarlar
Bilgisayarınızın web tarayıcısını kullanarak Google Play'de satın alınan sesli kitapları dinleyebilirsiniz.
e-Okuyucular ve diğer cihazlar
Kobo eReader gibi e-mürekkep cihazlarında okumak için dosyayı indirip cihazınıza aktarmanız gerekir. Dosyaları desteklenen e-kitap okuyuculara aktarmak için lütfen ayrıntılı Yardım Merkezi talimatlarını uygulayın.
