REFEREED RESEARCH
PAPERS
( I ) THEORETICAL RESEARCH PAPERS
( 95 ) Singh, S.
(2004). Repair of two-phase calibration methodology. Presented
at SSC 2004,
( 94 ) Singh, S.
(2004). Golden and
Silver Jubilee year -2003 of the linear regression estimators in survey
sampling.
Presented
at JSM-2004,
( 93 ) Singh, S. ( 2004). Survey statisticians
celebrate Golden Jubilee Year 2003 of the linear regression estimator.
Metrika, (accepted).
( 92 ) Upadhyaya, L.N., Singh, H.P. and Singh, S. (2004). A class of estimators for estimating
the variance of the ratio estimator. J. Japan Statist. Soc. ,34, (In press)
(
91
) Singh, S. (2003). On Farrell and Singh’s penalized chi-square distance
function in survey
sampling. Presented at SSC-2003,
(
90
) Arnab, R. and Singh, S. (2003). On estimating the variance of the predictor
of population
total. Presented at JSM-2003.
(
89
) Singh, S. and Puertas, S.M. (2003). On the estimation of total, mean and distribution
function using
two-phase sampling : Calibration approach. J.
Ind. Soc. Agric. Statist.
(Revised
submitted).
( 88 )
Singh, S.,
Methodology, June Issue, 94-101.
(
87
) Singh, S. (2003). On Farrell and Singh’s penalized
chi-square distance function-I.
JOS. (Submitted).
( 86 ) Upadhyaya,
L.N., Singh, H.P. and Singh, S. (2003). A family of almost unbiased
estimators for
negatively correlated variables using Jackknife technique.
Statistica, (Accepted).
( 85 ) Grewal, I.S., Bansal, M.L. and
Singh, S. (2003). Estimation of population mean of a
stigmatized
quantitative variable using double sampling.
Statistica,
(Accepted).
( 84 )
Singh, S. and Deo, B. (2003). Imputation
by power transformation. Statistical
Papers
(Accepted).
( 83 )
Singh, S., Grewal, I.S. and Joarder,
A. (2003). General class of estimators in multi
-character surveys. Statistical papers (Accepted).
(
82
) Singh, H.P., Shukla, S.K. and Singh, S. (2002). The
utilization of kurtosis in the estimation
of the parameters of
the one way random effect model. Biom. J., 44(8), 1028-1040.
( 81
) Singh, S. (2002) . A
new stochastic randomized response technique. Metrika, 56(2),
130-142.
( 80 ) Arnab, R. and Singh, S.(2002) Estimation of the size and
mean value of a stigmatized
characteristic
of a hidden gang in a finite population : A Unified approach. Ann.
Inst. Stat. Math., 54(3), 659-666.
( 79 ) Arnab, R and Singh, S. (2002) On the estimation of size and
mean value of a stigmatized
characterstic of a hiden
gang in finite populations. Recent
Advances in Statistical
Methods-Proceedings of Statistics 2001
(
78
) Farrell, P.J. and Singh, S. (2002). Penalized chi-square distance function in
survey
sampling. Proceedings of Joint
Statistical Meeting,
(
77
) Farrell, P.J. and Singh, S. (2002). Re-calibration of
higher order calibration weights.
Proceedings of the Canadian Society of
Statistics,
( 76 )
linear variety of ratio-cum-product
estimator. Allgemeines Statistisches
Archive, 323-
332.
( 75 ) Singh, S. (2001). Generalized
calibration approach for estimating the variance in survey
sampling. Ann. Ins.
Stat. Math. 53(2), 404-417.
( 74 ) Singh, S., Arnab,
R. and Farrell, P.J. (2003).
Higher-order calibration for predictor of
population total. Survey Methodology, (Revised Submitted).
( 73 ) Singh, H.P., Tailor, R., and
Singh, S. (2003). New families of estimators of finite
population variance
using random non-response in survey sampling. Statistica
(Submitted).
( 72 ) Arnab, R and Singh, S. (2001). Estimation of population
total and variance in presence of
non-response.
Presented at ASA
Conference,
( 71 ) Joarder, A.H. and Singh, S. (2001). Estimation of the trace
of the scaled covariance matrix
of a multivariate t-model using a
known information. Metrika,
54(1), 53-58.
( 70 )
Singh, S., Joarder, A.H. and Tracy, D.S. (2001). Median estimation using double
sampling.
Australian and
( 69 ) Singh, S., Mahmood,
M. and
of a sensitive character using
distinct units. Statistical Papers,
42(3), 403-411.
(
68
) Singh, S., Horn, S. and
survey
sampling. Statistica, LXI (1), 27-41
( 67 ) Singh, S., Joarder,
A.H. and Tracy, D.S (2000). Regression type estimators for random
non-response in survey sampling. Statistica, LX,
n.1, 39-44.
( 66 )
Singh, S.(2000). Estimation of variance of regression
estimator in two phase sampling.
( 65 ) Singh, S. (2000) Estimation of parametric functions in two-dimensional space in survey
sampling. South African J. Statist., 34, 51-71.
( 64 ) Singh, S. and Horn, S. (2000). Compromised imputation in survey sampling.
Metrika,51,267-276.
(
63
) Singh, S., Singh, R. and
model in randomized response sampling. J. Statist. Plann.
& Infer.,
83, 243-255.
( 62 )
Tracy, D. S.and Singh, S. (1999). Improved
strategies in randomized response surveys.
(
61
)
sampling. Metron, 57,47-68.
( 60 )
Singh, S. and King, M.L. (1999). Estimation of coefficient of determination
using
scrambled responses. J. Ind. Soc. Agric. Statist. 52(3),
338-343.
(
59
) Mahmood, M., Edwards, P. and Singh, S. (1999).
Bounds for (nk)! and the
factorial
polynomial. Mathematical Gazette , 21-23.
(
58
) Singh, S. (1999). An addendum to the confidentiality guaranteed in randomized
response
sampling by Mahmood, Singh and Horn. Biom. J., 8, 955-966.
( 57 )
Singh, S. and
147-157.
(
56
) Singh, S. and Horn, S. (1999). An improved estimator of the variance of the
regression
estimator. Biom. J., 359-369.
(
55
) Singh, S., Horn,
variance. Austral. &
( 54 ) Strachan, R., King, M.L. and Singh, S. (1998). Likelihood
based estimation of the
regression model with scrambled responses. Austral. &
40(3), 279-290.
(
53
) Singh, S., Horn,S. and Chowdhury,
S. (1998). Estimation of stigmatized characteristics
of a hidden
gang in finite population. Austral. &
291-297.
(
52
) Singh, S. and Joarder, A.H. (1998). Estimation of
finite population variance in the
presence of
random non-response. Metrika,
47, 241-249.
(
51
) Singh, S and Horn, S. (1998). An alternative estimator in
multi-character surveys.
Metrika, 48, 99-107.
(
50
) Singh, S. Horn, S. and Yu, F. (1998).
Estimation of variance of the general
regression
estimator: Higher level calibration approach. Survey Methodology
24(1), 41-50.
(
49
) Mahmood, M., Singh, S. and Horn, S. (1998).
On the confidentiality guaranteed
under
randomized response sampling: A comparison with several new techniques.
Biom. J., 40(2), 237-242.
(
48
) Singh, S., Singh, R. and
of a
sensitive character. Metron,
59-67.
( 47 ) Grewal,
-characteristics using randomized
response technique in PPS sampling.
J. Statist.,19, 51-65.
(
46
) Singh, S.,
quantitative variable
for a subgroup of a population. Commun. Statist.
- Theory
Meth., 26(7), 1793-1804.
(
45
)
Moors’ model - Its rectification through a random
group strategy. Commun.
Statist.
- Theory Meth. ,26(3), 743-754.
(
44
) Mahajan, P.K. and Singh, S. (1997). Almost unbiased
ratio and product type estimators.
Biom. J. ,
39(3), 509-516.
(
43
) Singh, S. and Joarder, A.H. (1997). Optional
randomized response technique for a
quantitative
sensitive character. Metron,
(
42
) Singh, S and Joarder, A.H. (1997). Unknown trials in randomized response technique.
J.
Ind. Soc. Agril. Statist., 50(1), 103-105.
(
41
) Singh, S., Joarder, A.H. and King, M.L. (1996).
Regression analysis using scrambled
responses. Austral. J. Statist.,
38(2), 201-211.
(
40
) Singh, S.,
correlation
coefficient. J. Ind. Soc. Agril. Statist., 48(2),
141-149.
(
39
) Mahajan, P.K. and Singh, S. (1996). An estimator of total in two stage sampling.
J.
Statist. Res. ,30(1),127-131.
(
38
) Joarder, A.H. and Singh, S. (1996). Estimation of
the trace of the scale matrix of a
multivariate t-model
using regression type estimator. Statistics, 28, 1-8.
(
37
) Singh, S., Singh, R. and
quantitative variable
for a sub-group of the population. Metron, 54 (3-4)83-91.
(
36
)
of
estimator using distinct respondents in randomized response survey. Survey
Methodology June issue, 21-23.
(
35
) Singh, R.,
quantitative
variable. Metron,
LIII(1-2), 43-54.
(
34)
without
randomization device. Estadistica,
47, 59-68.
(
33
) Singh, S.,
Soc. Agril. Statist., 47, 129-133.
(
32
)
in Warner’s model.J. Ind. Soc. Statist. and Op.Res.,16,
65-69.
(
31
) Singh, R, Singh, S,
randomized
response strategy. Statistical Hefte/Papers, 36, 265-271.
(
30
) Singh, S,
quantitative
variable. Statistica,383-386.
(
29
) Singh, S, Singh, R,
randomized
responses. Statistica , 54(2), 233-243.
(
28
) Singh, S (1994). Unrelated question
randomized response sampling using continuous
distributions. J. Ind. Soc. Agric. Statist.,
46(3), 349-361.
(
27
)
Assoc.,32(3),71-75.
(
26
) Bansal, ML, Singh, S and Singh R (1994).
Multi-character survey using randomized
response
technique. Commun. Statist. - Theory Meth. 23(6), 1705-1715.
(
25
) Mangat NS, Singh, S and Singh, R (1993). On the use of a modified randomization
device in
randomized response inquiries. Metron, 211-216.
(
24
) Singh, R,
character
without using randomization device. Commun Statist - Theory Meth.,
22 (9), 2661-2668.
(
23
) Singh, S and Singh R (1993). Generalised
sampling. Commun. Statist-Theory Meth 22
(2), 741-755.
(
22
)
model. Biom. J. 35,6,
727-755.
(
21
) Singh, S and Singh, R (1993). A new method: Almost separation of bias
precipitates
in survey
sampling. J.Ind. Statist. Assoc. , 31, 99-105.
(
20
) Singh, S and Singh, R (1993). A Class
of Almost Unbiased Ratio and Product type
estimators. J. Ind. Soc. Statist. & Op. Res., 14, 1-4, 33-37.
(
19
) Singh, S and Singh, R (1993). Almost
filtration of bias precipitates. A new Approach.
J. Ind.
Soc. Agril. Statist. 45 (2), 214-218.
(
18
)
response strategy.
(
17)
Singh, S and Singh, R (1992). Improved
sampling. J. Ind. Statist.
Assoc. 30, 109-122.
(
16
) Singh, S and Singh R (1992). An alternative estimator for randomized response technique.
J.
Ind. Soc. Agril. Statist. 44 (2),
146-154.
(
15
) Gupta RK, Singh, S and
estimating finite
population variance.
(
14
) Singh, S and Singh R (1991). Almost bias precipitate filtration: A new
technique.
(
13
) Singh, S (1991). Estimation of finite population variance
using double sampling.
(
12
).
response
technique.
(
11
) Singh, S and Kataria, P (1990). An estimator of finite
population variance. J. Ind.
Soc. Agril. Statist. 42, 186-188.
(
10
) Singh, S and Singh, S (1988). Improved estimators of K & B in finite populations.
J. Ind.
Soc. Agril. Statist. 40, 121-126.
(II) APPLIED STATISTICS PAPERS
(
9
) Singh, S., Singh, S., Pannu, C.J.S. and Mittal, J.P. (1998). Pre-harvest energy use and crop
yield relationships
for growing wheat in
39 (13), 1377-1382.
(
8
) Singh, S., Singh, S. Mittal, J.P. and Pannu, C.J.S. (1998). Frontier energy use for the
cultivation of Wheat
crop in Punjab.Energy Conversion and Management,39,
485-491.
(
7
) Singh, S, Singh, IP, Singh, S and Pannu CJS
(1996). Energy planning of a
Village using multiple objectives
compromise programming. Energy Conversion
and Management, 37(3), 329-342.
(
6
) Singh, S., Singh, S., Pannu,C.J.S. and Mittal,J.P. (1996).
Fertilizer energy use and crop
yield relationships
for wheat in the
Management, 37(10), 1547-1553.
(
5
) Singh, S, Singh, S, Mittal, JP, Pannu,
CJS and Bhangoo, BS (1994). Energy inputs and
crop yield
relationships for rice in
19,1061-1065.
(
4
) Singh, S, Singh, S, Pannu, CJS, Bhangoo,
BS (1994). Energy inputs and crop yield
relationships for
wheat crop in
493-499.
(
3
) Pannu, CJS, Singh, S, Singh, MP, Singh, S and Bhangoo, BS (1993).
Energy use pattern
for a
selected village in cotton-belt of
18, 1113-1117.
(
2
) Singh, S, Pannu,CJS, and Singh, S (1993).
Performance of bullock drawn implements in
the rainfed region of
(
1
) Pannu, C.J.S., Bhangoo,
B.S., Singh, M.P., Singh, S., Singh, S. and Mittal,
V.K. (1992).
Energetics of Potato cultivation in
Status
of Potato Mechanization in India held at PAU, Ludhiana on Nov. 11-12.