On the Prediction of the Postal Service’s Marginal and Total Operating Costs

Author:

Bzhilyanskaya Lyudmila Y.,Cigno Margaret M.,Namoro Soiliou D.

Publisher

Springer Nature Switzerland

Reference9 articles.

1. Baltagi, B.H. (2005). Econometric Analysis of Panel Data, Third edition, John Wiley & Sons.

2. Bühlmann, P., & van de Geer, S. (2014 [2011]). Statistics for High-Dimensional Data: Methods, Theory and Applications. Springer on the so-called LASSO (Least Absolute Shrinkage and Selection Operator).

3. Cochran, W.G. (1977). Sampling Techniques, 3rd Edition, John Wiley & Sons, New York.

4. Cohen, R., & Waller, J. (2014). The Postal Service Variability Ratio and Some Implications. https://www.prc.gov/sites/default/files/reports/Cohen-Waller%20Final%20Report%201-100714.pdf.

5. Fariss, C.J., & Jones, Z.M. (2018). Enhancing Validity in Observational Settings When Replication is Not Possible. Political Science Research and Methods, Vol. 6, No. 2, pp. 365–380, available at http://cfariss.com/documents/FarissJones2018PSRM.pdf.

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