PROJECT TITLE:

Exact Inference for Laplace Quantile, Reliability, and Cumulative Hazard Functions Based on Type-II Censored Data

ABSTRACT:

In this paper, we tend to first present specific expressions for the utmost probability estimates (MLEs) of the location, and scale parameters of the Laplace distribution primarily based on a Type-II right censored sample below different cases. Then, once giving the exact density functions of the MLEs, and also the expectations, we derive the precise density of the MLE of the quantile, and utilize it to develop precise confidence intervals for the population quantile. We also briefly discuss the MLEs of reliability and cumulative hazard functions, and the way to develop actual confidence intervals for these functions. These results will also be extended to any linear estimators. Finally, we tend to present two examples to illustrate the inferential methods developed here.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Exact Solutions for Certain Weighted Sum-Rate and Common-Rate Maximization Problems - 2018ABSTRACT:Weighted total-rate and customary-rate optimization S i=one N a i log 2 (1 + ? i ) and max mini(? i ),
PROJECT TITLE :Exact Assessment of the Delay-Rate Tradeoff in Ergodic Interference Alignment - 2018ABSTRACT:So as to increase the network capability and fulfill the quality of Service needs in multi-user wireless networks, interference
PROJECT TITLE :High Dynamics Control for MMC Based on Exact Discrete-Time Model with Experimental Validation - 2017ABSTRACT:Because of the complexity of the system, the management of the modular multilevel converter (MMC) constitutes
PROJECT TITLE :Exact Nonparametric Inference for Component and System Lifetime Distributions Based on Joint SignaturesABSTRACT:Based on the observed lifetimes of two systems with shared elements, we have a tendency to construct
PROJECT TITLE :Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large GraphsABSTRACT:High- proximity question in massive graphs may be a fundamental problem with a wide selection of applications.

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry