On a sampling scheme with inclusion probability proportional to size

1984 ◽  
Vol 15 (4) ◽  
pp. 595-600
Author(s):  
Pranesh Kumar ◽  
O.P. Kathuria ◽  
S.K. Agarwal
Keyword(s):  
Sampling Scheme ◽  
Inclusion Probability

An IPPS (inclusion probability proportional to size) sampling scheme

1982 ◽  
Vol 36 (4) ◽  
pp. 209-212 ◽  
Author(s):  
M.N. Deshpande ◽  
S.G. Prabhu-Ajgaonkar
Keyword(s):  
Sampling Scheme ◽  
Inclusion Probability

A Note on RAO's Inclusion Probability Proportional to size Sampling Scheme

1982 ◽  
Vol 24 (8) ◽  
pp. 807-809 ◽  
Author(s):  
S. K. Agarwal ◽  
Pranesh Kumar
Keyword(s):  
Sampling Scheme ◽  
Inclusion Probability

On inclusion probability proportional to size sampling scheme

1985 ◽  
Vol 12 ◽  
pp. 127-131 ◽  
Author(s):  
Pranesh Kumar ◽  
V.K. Gupta ◽  
A.K. Nigam
Keyword(s):  
Sampling Scheme ◽  
Inclusion Probability

Detection of Terahertz Pulsed Radiation by using Heterodyne Electro-Optic Sampling Scheme

2012 ◽  
Vol 132 (9) ◽  
pp. 727-733
Author(s):  
Masahiko Tani ◽  
Michael I. Bakunov ◽  
Kohji Yamamoto ◽  
Kazuki Horita ◽  
Tetsuya Kinoshita ◽  
...  
Keyword(s):  
Sampling Scheme ◽  
Electro Optic

Unequal Probability Scheme for Fruit Count in a Guava Tree

2016 ◽  
Vol 3 (4) ◽  
Author(s):  
R. C. BHARATI
Keyword(s):  
Cross Sectional Area ◽  
Equal Probability ◽  
Sampling Scheme ◽  
Research Station ◽  
Sectional Area ◽  
Cross Sectional ◽  
Unequal Probability ◽  
Selection Probabilities ◽  
Horticultural Research ◽  
Number Of Branches

Data on fruit count corresponding to primary, secondary and tertiary branches of a randomly selected guava CV. Allahabad Safeda were recorded from the guava orchard of Horticultural Research Station, Birauli. The proposed sampling scheme in which the selection probabilities are based on length of braches between two forking points was compared with equal probability(PE), probability proportional to the number of branches(PPN), probability proportional to the cross sectional area (PPA) and probability proportional to volume (PPV) method of sampling and found to be more efficient.

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