Verwandte Artikel zu Statistical Inference: The Minimum Distance Approach...

Statistical Inference: The Minimum Distance Approach (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Softcover

 
9781032477633: Statistical Inference: The Minimum Distance Approach (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Inhaltsangabe

In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by "Minimum Distance Estimation" is literally huge. Filling a statistical resource gap, Statistical Inference: The Minimum Distance Approach comprehensively overviews developments in density-based minimum distance inference for independently and identically distributed data. Extensions to other more complex models are also discussed.

Comprehensively covering the basics and applications of minimum distance inference, this book introduces and discusses:



  • The estimation and hypothesis testing problems for both discrete and continuous models


  • The robustness properties and the structural geometry of the minimum distance methods


  • The inlier problem and its possible solutions, and the weighted likelihood estimation problem


  • The extension of the minimum distance methodology in interdisciplinary areas, such as neural networks and fuzzy sets, as well as specialized models and problems, including semi-parametric problems, mixture models, grouped data problems, and survival analysis.


Statistical Inference: The Minimum Distance Approach gives a thorough account of density-based minimum distance methods and their use in statistical inference. It covers statistical distances, density-based minimum distance methods, discrete and continuous models, asymptotic distributions, robustness, computational issues, residual adjustment functions, graphical descriptions of robustness, penalized and combined distances, weighted likelihood, and multinomial goodness-of-fit tests. This carefully crafted resource is useful to researchers and scientists within and outside the statistics arena.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Ayanendranath Basu, Hiroyuki Shioya, Chanseok Park

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

  • VerlagChapman and Hall/CRC
  • Erscheinungsdatum2023
  • ISBN 10 1032477636
  • ISBN 13 9781032477633
  • EinbandTapa blanda
  • SpracheEnglisch
  • Auflage1
  • Anzahl der Seiten430
  • Kontakt zum HerstellerNicht verfügbar

EUR 11,86 für den Versand von Vereinigtes Königreich nach Deutschland

Versandziele, Kosten & Dauer

Weitere beliebte Ausgaben desselben Titels

9781420099652: Statistical Inference: The Minimum Distance Approach: 120 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Vorgestellte Ausgabe

ISBN 10:  1420099655 ISBN 13:  9781420099652
Verlag: Chapman and Hall/CRC, 2011
Hardcover

Suchergebnisse für Statistical Inference: The Minimum Distance Approach...

Beispielbild für diese ISBN

Basu, Ayanendranath/ Shioya, Hiroyuki/ Park, Chanseok
Verlag: CRC Pr I Llc, 2023
ISBN 10: 1032477636 ISBN 13: 9781032477633
Neu Paperback

Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Paperback. Zustand: Brand New. 429 pages. 9.19x6.13x1.30 inches. In Stock. Artikel-Nr. __1032477636

Verkäufer kontaktieren

Neu kaufen

EUR 66,96
Währung umrechnen
Versand: EUR 11,86
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb