Redesigning of the Corn Production Survey in the Philippines

Abubakar S. Asaad; Sarah B. Balagbis; Jay M. Manlapaz; Melanie C. Estrada; Divina Gracia L. Del Prado; Erniel B. Barrios

Redesigning of the Corn Production Survey in the Philippines

Abubakar S. Asaad, Sarah B. Balagbis, Jay M. Manlapaz, Melanie C. Estrada, Divina Gracia L. Del Prado, Erniel B. Barrios

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

Abstract

Redesigning of the Philippine Statistics Authority’s (PSA’s) nationwide quarterly Corn Production Survey (CPS) was done to reflect the current behavior of corn production in each province. Simulation results show that stratified Lavalle-Hidiroglou (LH) algorithm is the best stratification with probability proportional to size systematic (PPS-SYS) and simple random sampling without replacement (SRSWOR), as the best selection methods for sample barangays and sample households, respectively. Further, design-based estimation is recommended over bootstrap method, in terms of precision and accuracy.

Original language	English
Title of host publication	Proceeding of the 62nd ISI World Statistics Congress 2019
Subtitle of host publication	Contributed Paper Session
Editors	Rozita Talha
Place of Publication	Putrajaya Malaysia
Publisher	Department of Statistics Malaysia
Pages	38-44
Number of pages	7
Volume	1
Publication status	Published - 2019
Externally published	Yes
Event	ISI World Statistics Congress 2019 - Kuala Lumpur, Malaysia Duration: 18 Aug 2019 → 23 Aug 2019 Conference number: 62nd https://www.isi2019.org/ https://2019.isiproceedings.org/ (Proceedings)

Conference

Conference	ISI World Statistics Congress 2019
Abbreviated title	ISI 2019
Country/Territory	Malaysia
City	Kuala Lumpur
Period	18/08/19 → 23/08/19
Internet address	https://www.isi2019.org/ https://2019.isiproceedings.org/ (Proceedings)

Cite this

@inproceedings{9a675022e4c247608a606aa6ca0301bb,

title = "Redesigning of the Corn Production Survey in the Philippines",

abstract = "Redesigning of the Philippine Statistics Authority{\textquoteright}s (PSA{\textquoteright}s) nationwide quarterly Corn Production Survey (CPS) was done to reflect the current behavior of corn production in each province. Simulation results show that stratified Lavalle-Hidiroglou (LH) algorithm is the best stratification with probability proportional to size systematic (PPS-SYS) and simple random sampling without replacement (SRSWOR), as the best selection methods for sample barangays and sample households, respectively. Further, design-based estimation is recommended over bootstrap method, in terms of precision and accuracy. ",

author = "Asaad, {Abubakar S.} and Balagbis, {Sarah B.} and Manlapaz, {Jay M.} and Estrada, {Melanie C.} and {Del Prado}, {Divina Gracia L.} and Barrios, {Erniel B.}",

year = "2019",

language = "English",

volume = "1",

pages = "38--44",

editor = "Rozita Talha",

booktitle = "Proceeding of the 62nd ISI World Statistics Congress 2019",

publisher = "Department of Statistics Malaysia",

address = "Malaysia",

note = "ISI World Statistics Congress 2019, ISI 2019 ; Conference date: 18-08-2019 Through 23-08-2019",

url = "https://www.isi2019.org/, https://2019.isiproceedings.org/",

}

Asaad, AS, Balagbis, SB, Manlapaz, JM, Estrada, MC, Del Prado, DGL & Barrios, EB 2019, Redesigning of the Corn Production Survey in the Philippines. in R Talha (ed.), Proceeding of the 62nd ISI World Statistics Congress 2019: Contributed Paper Session. vol. 1, Department of Statistics Malaysia, Putrajaya Malaysia, pp. 38-44, ISI World Statistics Congress 2019, Kuala Lumpur, Malaysia, 18/08/19.

Redesigning of the Corn Production Survey in the Philippines. / Asaad, Abubakar S.; Balagbis, Sarah B.; Manlapaz, Jay M. et al.
Proceeding of the 62nd ISI World Statistics Congress 2019: Contributed Paper Session. ed. / Rozita Talha. Vol. 1 Putrajaya Malaysia: Department of Statistics Malaysia, 2019. p. 38-44.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - Redesigning of the Corn Production Survey in the Philippines

AU - Asaad, Abubakar S.

AU - Balagbis, Sarah B.

AU - Manlapaz, Jay M.

AU - Estrada, Melanie C.

AU - Del Prado, Divina Gracia L.

AU - Barrios, Erniel B.

N1 - Conference code: 62nd

PY - 2019

Y1 - 2019

N2 - Redesigning of the Philippine Statistics Authority’s (PSA’s) nationwide quarterly Corn Production Survey (CPS) was done to reflect the current behavior of corn production in each province. Simulation results show that stratified Lavalle-Hidiroglou (LH) algorithm is the best stratification with probability proportional to size systematic (PPS-SYS) and simple random sampling without replacement (SRSWOR), as the best selection methods for sample barangays and sample households, respectively. Further, design-based estimation is recommended over bootstrap method, in terms of precision and accuracy.

AB - Redesigning of the Philippine Statistics Authority’s (PSA’s) nationwide quarterly Corn Production Survey (CPS) was done to reflect the current behavior of corn production in each province. Simulation results show that stratified Lavalle-Hidiroglou (LH) algorithm is the best stratification with probability proportional to size systematic (PPS-SYS) and simple random sampling without replacement (SRSWOR), as the best selection methods for sample barangays and sample households, respectively. Further, design-based estimation is recommended over bootstrap method, in terms of precision and accuracy.

M3 - Conference Paper

VL - 1

SP - 38

EP - 44

BT - Proceeding of the 62nd ISI World Statistics Congress 2019

A2 - Talha, Rozita

PB - Department of Statistics Malaysia

CY - Putrajaya Malaysia

T2 - ISI World Statistics Congress 2019

Y2 - 18 August 2019 through 23 August 2019

ER -