Table 7 MSE of memory-type and proposed calibrated ratio estimators based on EWMA statistic at different values of correlation coefficient ρ, smoothing parameters \(\:\lambda\:=0.50,\:0.75,\:1.00,\) and sample sizes \(\:n\).

From: Innovative memory-type calibration estimators for better survey accuracy in stratified sampling

ρ

n

λ = 0.50

λ = 0.75

λ = 1.00

\(\:{{\stackrel{-}{y}}^{M}}_{rt}\)

\(\:{\widehat{y}}_{mr}\)

\(\:{{\stackrel{-}{y}}^{M}}_{rt}\)

\(\:{\widehat{y}}_{mr}\)

\(\:{{\stackrel{-}{y}}^{M}}_{rt}\)

\(\:{\widehat{y}}_{mr}\)

0.05

10

0.034272

0.000238

0.060639

0.000360

0.102756

0.000550

20

0.016875

0.000118

0.030154

0.000179

0.051011

0.000271

30

0.011274

0.000078

0.020349

0.000120

0.034238

0.000182

50

0.006762

0.000047

0.012311

0.000072

0.020533

0.000109

200

0.001675

0.000011

0.003023

0.000018

0.005123

0.000027

500

0.000675

0.000005

0.001223

0.00007

0.002036

0.000011

0.25

10

0.030790

0.000187

0.056942

0.000294

0.094406

0.000448

20

0.015782

0.000096

0.028117

0.000144

0.046566

0.000217

30

0.010341

0.000063

0.018855

0.000047

0.031303

0.000146

50

0.006321

0.000038

0.011214

0.000057

0.018731

0.000088

200

0.001582

0.000009

0.002846

0.000014

0.004683

0.000022

500

0.000623

0.000004

0.001133

0.000006

0.001884

0.000009

0.50

10

0.028151

0.000137

0.050739

0.000204

0.084447

0.000318

20

0.013849

0.000066

0.025016

0.000100

0.041823

0.000157

30

0.009345

0.000045

0.016780

0.000067

0.027691

0.000104

50

0.005517

0.000026

0.010098

0.000040

0.016826

0.000063

200

0.0013888

0.000007

0.002529

0.000010

0.004191

0.000015

500

0.000553

0.000003

0.001008

0.00004

0.001675

0.000006

0.75

10

0.024390

0.000078

0.045117

0.000116

0.074298

0.000899

20

0.012351

0.000039

0.022149

0.000056

0.036806

0.000441

30

0.008139

0.000026

0.014919

0.000037

0.024565

0.000295

50

0.004925

0.000016

0.008910

0.000022

0.014832

0.000177

200

0.001226

0.00004

0.002186

0.000006

0.003114

0.00004

500

0.000498

0.000002

0.000882

0.00002

0.001493

0.00002

0.95

10

0.021876

0.000034

0.039365

0.000044

0.066528

0.000094

20

0.011011

0.000017

0.019648

0.000021

0.032561

0.000044

30

0.007382

0.000011

0.013224

0.000014

0.022141

0.000030

50

0.004332

0.00007

0.007934

0.000008

0.013277

0.000018

200

0.001103

0.000002

0.001990

0.000002

0.003299

0.000004

500

0.000442

0.000007

0.000791

0.000001

0.001332

0.000002