On Discrete Probability Distributions to Grasp the Number of Samples in a Population
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DOI: 10.31219/osf.io/yv24f
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- Martin, Ian W.R. & Nagel, Stefan, 2022.
"Market efficiency in the age of big data,"
Journal of Financial Economics, Elsevier, vol. 145(1), pages 154-177.
- Ian Martin & Stefan Nagel, 2019. "Market Efficiency in the Age of Big Data," NBER Working Papers 26586, National Bureau of Economic Research, Inc.
- Martin, Ian W.R. & Nagel, Stefan, 2022. "Market efficiency in the age of big data," LSE Research Online Documents on Economics 112960, London School of Economics and Political Science, LSE Library.
- Ian Martin & Stefan Nagel, 2019. "Market Efficiency in the Age of Big Data," CESifo Working Paper Series 8015, CESifo.
- Martin, Ian & Nagel, Stefan, 2019. "Market Efficiency in the Age of Big Data," CEPR Discussion Papers 14235, C.E.P.R. Discussion Papers.
- Linda J. Young & Michael Jacobsen, 2022. "Sample Design and Estimation When Using a Web-Scraped List Frame and Capture-Recapture Methods," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(2), pages 261-279, June.
- Conti, Pier Luigi & Mecatti, Fulvia & Nicolussi, Federica, 2022. "Efficient unequal probability resampling from finite populations," Computational Statistics & Data Analysis, Elsevier, vol. 167(C).
- Petersen, Alexander & Zhang, Chao & Kokoszka, Piotr, 2022. "Modeling Probability Density Functions as Data Objects," Econometrics and Statistics, Elsevier, vol. 21(C), pages 159-178.
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