New developments in applied statistics research
著者
書誌事項
New developments in applied statistics research
Nova Science Publishers, c2008
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Computers have taken a permanent place in almost every human endeavor in the last 20 years. This infiltration requires a learning process on the part of the people utilising them and realising where and how they can be best used beyond the basic and obvious applications. Statistics is an example of their application in many diverse fields to reach conclusions and make projections never before possible. Beyond this, applied statistics is rapidly becoming not only an instrument, but an integral part of the advance of knowledge. There are many fields such as medicine, biology, weather prediction, military planning, and many others where the statistical studies are essential before the next step can be taken. This book presents recent research in the field from around the globe.
目次
- Preface
- Characterisations of Probability Distributions by Properties of Products of Random Variables
- Product Integration and Characterisation of Probability Laws
- Characterisations of Distributions by Regressional Properties of Records
- Characterisations of Distributions by Conditional Expectations of Generalised Order Statistics
- Bivariate Lukacs Type Regression Characterisations
- Generalised Order Statistics: Prospective and Applications
- Characterisation of symmetry and Exceedance models in multivariate FGM distributions
- Characterisations of Continuous Distributions Based on Expectations of Generalised Order Statistics
- On Characterisations of Continuous Distributions through Order Statistics
- Characterisation of Distributions through Linear Regression of Non-Adjacent Generalised Order Statistics
- On Characterising Distributions By Conditional Expectations of Functions of Non-adjacent Record Values
- Characterisation of Distributions through Order Statistics
- Moments of Residual Life and Some Characterisation Results
- Characterisations of Univariate Continuous Distributions Based on Hazard Function
- Index.
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