Cantitate/Preț
Produs

The Inverse Gaussian Distribution: Theory: Methodology, and Applications: Statistics: A Series of Textbooks and Monographs

Autor Raj Chhikara, J. Leroy Folks
en Limba Engleză Hardback – 29 sep 1988
This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical properties, methods, and applications of the two-parameter inverse Gaussian family of distribution. It is useful to statisticians and users of statistical distribution.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 35295 lei  6-8 săpt.
  CRC Press – 18 dec 2020 35295 lei  6-8 săpt.
Hardback (1) 193078 lei  6-8 săpt.
  CRC Press – 29 sep 1988 193078 lei  6-8 săpt.

Din seria Statistics: A Series of Textbooks and Monographs

Preț: 193078 lei

Preț vechi: 235461 lei
-18% Nou

Puncte Express: 2896

Preț estimativ în valută:
36950 38527$ 30709£

Carte tipărită la comandă

Livrare economică 21 martie-04 aprilie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780824779979
ISBN-10: 0824779975
Pagini: 230
Ilustrații: illustrations
Dimensiuni: 152 x 229 x 20 mm
Greutate: 0.59 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Statistics: A Series of Textbooks and Monographs

Locul publicării:Boca Raton, United States

Public țintă

Academic, Postgraduate, and Professional

Cuprins

1. Introduction 2. Properties of the Inverse Gaussian Distribution 3. Genesis 4. Certain Useful Transformations and Characterizations 5. Sampling and Estimation of Parameters 6. Significance Tests 7. Bayesian Inference 8. Regression Analysis 9. Life Testing and Reliability 10. Applications 11. Additional Topics

Notă biografică

Raj Chhikara is professor emeritus at UHCL.
J. Leroy Folks is a professor at Oklahoma State University.

Descriere

This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical properties, methods, and applications of the two-parameter inverse Gaussian family of distribution. It is useful to statisticians and users of statistical distribution.