Titlebook: Ranked Set Sampling; Theory and Applicati Zehua Chen,Zhidong Bai,Bimal K. Sinha Book 2004 Springer Science+Business Media New York 2004 Exc

難理解

Zehua Chen,Zhidong Bai,Bimal K. Sinhaomaterials .- Nanomechanics .- Molecular Modeling and Its Role in Advancing Nanotechnology .- MEMS/NEMS .- Microfluidics and Nanofluidics .- Biomedical Engineering and Biodevices .- Bio/Nanotechnology and Nanom978-94-007-6178-0

異常

過多

Zehua Chen,Zhidong Bai,Bimal K. Sinhaomaterials .- Nanomechanics .- Molecular Modeling and Its Role in Advancing Nanotechnology .- MEMS/NEMS .- Microfluidics and Nanofluidics .- Biomedical Engineering and Biodevices .- Bio/Nanotechnology and Nanom978-94-007-6178-0

expdient

jeopardize

Zehua Chen,Zhidong Bai,Bimal K. Sinhaand Materials for Fabrication .- Nanoscale Measurement Techniques .- Nanostructures .- Nanomaterials .- Nanomechanics .- Molecular Modeling and Its Role in Advancing Nanotechnology .- MEMS/NEMS .- Microfluidics and Nanofluidics .- Biomedical Engineering and Biodevices .- Bio/Nanotechnology and Nanom

青少年

Zehua Chen,Zhidong Bai,Bimal K. Sinhaand Materials for Fabrication .- Nanoscale Measurement Techniques .- Nanostructures .- Nanomaterials .- Nanomechanics .- Molecular Modeling and Its Role in Advancing Nanotechnology .- MEMS/NEMS .- Microfluidics and Nanofluidics .- Biomedical Engineering and Biodevices .- Bio/Nanotechnology and Nanom

AND

and Materials for Fabrication .- Nanoscale Measurement Techniques .- Nanostructures .- Nanomaterials .- Nanomechanics .- Molecular Modeling and Its Role in Advancing Nanotechnology .- MEMS/NEMS .- Microfluidics and Nanofluidics .- Biomedical Engineering and Biodevices .- Bio/Nanotechnology and Nanom

medieval

Introduction, laid. Many variations and ramifications of the original idea have been proposed and studied. More and more applications of RSS have been cited in the literature. It is the purpose of this monograph to give a systematic account of the theory and application of RSS. In this introduction, we give a br

培養(yǎng)

Balanced Ranked Set Sampling II: Parametric,ked set sample is the sum of the information matrix based on a simple random sample of the same size and a positive definite information gain matrix. In general cases, it is established that the information matrix based on a balanced ranked set sample minus the information matrix based on a simple r

不能仁慈

Unbalanced Ranked Set Sampling and Optimal Designs,er of its failed components reaches (. ? . + 1). Thus, the lifetime of an “r-out-of-k” system is, in fact, the (. ? . + 1)st order statistic of . independent identically distributed component lifetimes. Thus, a sample of system lifetimes can be treated as an unbalanced RSS sample while only the (. ?