On Estimation Methods for Power Function and Rayleigh Distributions | Statistical Inference. This item is unavailable.
Language: English
Published by LAP LAMBERT Academic Publishing, 2021
- Softcover
- New

Unavailable
Softcover
Condition: New
US$ 54.71
Item description from seller
On Estimation Methods for Power Function and Rayleigh Distributions | Statistical Inference | Oruganti V. Raja Sekharam (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203307948 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
Seller Inventory # 120407758
- Title
- On Estimation Methods for Power Function and Rayleigh Distributions | Statistical Inference
- Author
- Oruganti V. Raja Sekharam (u. a.)
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2021
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 6203307947
- ISBN 13
- 9786203307948
- Item weight
- 203 grams
- Dimensions
- 220 x 150 x 9 mm
- Seller catalogs
- Bücher
1. Objective of the study:To estimate parameters for Power Function and Rayleigh Distributions by using Lest Square Regression method and Median Ranks Regression method.2. Methodology & Results: The present study has five chapters.This chapter deals with General Introduction, Problems of Investigation. Mathematical and Statistical preliminaries required for mathematical derivations in the subsequent chapters are also included in Chapter I..Chapter II is to discuss about Estimation of Location (μ) and Scale (λ) for Two-Parameter Rayleigh Distribution by Median Rank Regression Method.Chapter III describes the Estimation of Location (μ) and Scale (λ) for Two-Parameter Rayleigh Distribution by Least Square Regression Method.Chapter IV explains the Estimation of Scale and Shape Parameters of Power Function Distribution by Median Ranks Regression Method using Optimally Constructed Grouped Data.Chapter V deals with Estimation of Scale and Shape Parameters of Power Function Distribution by least squares method using optimally Constructed Grouped Data
"Synopsis" may belong to another edition of this title.