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Article
Peer-Review Record

Empirical Bayes Prediction in a Sequential Sampling Plan Based on Loss Functions

Processes 2019, 7(12), 944; https://doi.org/10.3390/pr7120944
by Khanittha Tinochai 1, Katechan Jampachaisri 2, Yupaporn Areepong 1 and Saowanit Sukparungsee 1,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Processes 2019, 7(12), 944; https://doi.org/10.3390/pr7120944
Submission received: 19 September 2019 / Revised: 4 December 2019 / Accepted: 5 December 2019 / Published: 11 December 2019
(This article belongs to the Section Process Control and Monitoring)

Round 1

Reviewer 1 Report

The paper is well written. However, numerate all your equations. Do not use abbreviations before you explained them (this is valid for abstract as well). Explain all notations used in the equations. Improve Chapter 3 (too short and it is known the purpose of the chapter). The same goes for the chapter Conclusions - too short. Provide there your main findings, main limitations and recommendations for further research.

Author Response

We are very thankful to the editor and the reviewer to help as refined our paper by classifying critical sections in our manuscript. For this revision of manuscript, we answer all comments made by the referee in the order they appeared in the report an outline also some important changes made in the manuscript. Many thanks for these comments.

More evidence and explanation on the methodology and applications have been provided which improved the clarity of the manuscript. Kindly refer to the minor corrections on the manuscript. See Attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Overall this is an interesting paper to apply EB on Sequential Sampling Plans. The introduction and literature review is excellent and the methodology part looks valid, but revision must be done on the result presentation. At the current stage, all the tables look busy (is there really no way to simplify Table 1 and the end of Page 11?), and it is hard to objectively assess the merit this work brings to the community if the authors do not improve the result section's quality.

Author Response

We are very thankful to the editor and the reviewer to help as refined our paper by classifying critical sections in our manuscript. For this revision of manuscript, we answer all comments made by the referee in the order they appeared in the report an outline also some important changes made in the manuscript. Many thanks for these comments.

More evidence and explanation on the methodology and applications have been provided which improved the clarity of the manuscript. Kindly refer to the minor corrections on the manuscript. See Attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

a file is attached

Comments for author File: Comments.pdf

Author Response

We are very thankful to the editor and the reviewer to help as refined our paper by classifying critical sections in our manuscript. For this revision of manuscript, we answer all comments made by the referee in the order they appeared in the report an outline also some important changes made in the manuscript. Many thanks for these comments.

More evidence and explanation on the methodology and applications have been provided which improved the clarity of the manuscript. Kindly refer to the minor corrections on the manuscript. See Attachment.

Author Response File: Author Response.pdf

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