Abstract
This study investigates how average adult human height distributions of various regions around the world have changed over time using a non-parametric approach. Performance of kernel density estimators (KDEs) were compared between various mixtures of Gaussian distributions created using different means, variances and mixing weights. The performance was evaluated for these mixtures using existing bandwidth selection methods, with various kernels and sample sizes and it was revealed for mixtures with distinct multi modes the Sheather & Jones method performed better in general among the considered. The results of this study also revealed that a better practical performance than Sheather & Jones can be achieved for relatively smaller samples from gaussian mixtures in general through a modified plug-in bandwidth. By applying the findings of the simulation analysis on data related to average adult human heights in different regions in the world for different cohorts, interesting observations on average adult human height distributions were made.
Similar content being viewed by others
Notes
All citizens of Canada are classified as “Canadians” as defined by Canada’s nationality laws. However, “Canadian” as an ethnic group has since 1996 been added to census questionnaires for possible ancestry. “Canadian” was included as an example on the English questionnaire and “Canadian” as an example on the French questionnaire. “The majority of respondents to this selection are from the eastern part of the country that was first settled. Respondents generally are visibly European (Anglophones and Francophones), however no-longer self identify with their ethnic ancestral origins. This response is attributed to a multitude or generational distance from ancestral lineage (Jedwab, 2008; Beaujot and Kerr, 2007).
The Australian Bureau of Statistics has stated that most who nominate “Australian” as their ancestry are part of the Anglo-Celtic group (Jupp, 1995).
Belarusians are an East Slavic ethnic group who are native to modern-day Belarus and the immediate region. There are over 9.5 million people who proclaim Belarusian ethnicity worldwide, with the majority residing either in Belarus or the adjacent countries where they are an autochthonous minority. (Source: https://en.wikipedia.org/wiki/Belarusians)
The Bosniaks or Bosniacs are a South Slavic nation and ethnic group native to Bosnia and Herzegovina, Croatia, Montenegro and Serbia (Sancaktar, 2012).
The Andorran people are a Romance ethnic group of originally Catalan descent (Minahan, 2000).
References
Beaujot, R. P. and Kerr, D. W. (2007). The changing face of Canada: essential readings in population. Canadian Scholars’ Press.
Boix, C. and Rosenbluth, F. (2014). Bones of contention: the political economy of height inequality. American Pol. Sci. Rev. 108, 1–22. https://doi.org/10.1017/S0003055413000555.
Case, A. and Paxson, C. (2008). Stature and status: height, ability, and labor market outcomes. J. Pol. Econ. 116, 499–532.
Central-Intelligence-Agency (2018). The world factbook - field listing: ethnic groups. https://www.cia.gov/library/publications/the-world-factbook/fields/400.html.
Cole, J. J., Pace, M. L., Carpenter, S. R. and Kitchell, J. F. (2000). Persistence of net heterotrophy in lakes during nutrient addition and food web manipulations. Lim. Ocean. 45, 1718–1730.
Fisher, R. A. XV (1919). The correlation between relatives on the supposition of mendelian inheritance. Earth. Envi. Sci. Trans. Royal Soc. Edinburgh 52, 399–433.
Frühwirth-Schnatter, S. (2006). Finite Mixture and Markov Switching Models. Springer, New York.
Hermanussen, M. and Scheffler, C. (2016). Stature signals status: the association of stature, status and perceived dominance–a thought experiment. Anthropol. Anz. 73, 265–274.
Izenman, A. J. (1991). Review papers: recent developments in nonparametric density estimation. J. Am. Stat. Assoc. 86, 205–224.
Jedwab, J. (2008). Our ’cense’of self: the 2006 census saw 1.6 million ’canadian’canadians return to british and french origins.
Jupp, J. (1995). Ethnic and cultural diversity in Australia. Year Book Australia (77).
Kniveton, D., Schmidt-Verkerk, K., Smith, C. and Black, R. (2008). Climate change and migration.
Komlos, J. and Kim, J. H. (1990). Estimating trends in historical heights. Historical Methods: A Journal of Quantitative and Interdisciplinary History 23, 116–120. https://doi.org/10.1080/01615440.1990.10594202https://doi.org/10.1080/01615440.1990.10594202.
Max Roser, C. A. and Ritchie, H. (2019). Human height. Our World in Data. https://ourworldindata.org/human-height.
Minahan, J. (2000). One Europe, many nations: a historical dictionary of European national groups. Greenwood Publishing Group.
NCD-Risk-Factor-Collaboration (2016). A century of trends in adult human height. Elife 5, e13,410. http://www.ncdrisc.org/data-downloads-height.html.
Picard, F. (2007). An introduction to mixture models. Statistics for Systems Biology Group Research Report (7).
Sancaktar, C. (2012). Historical construction and development of bosniak nation. Alternatives: Turkish J. Int. Rel. 11, 1–17.
Santosh, D. H. H., Venkatesh, P., Poornesh, P., Rao, L. N. and Kumar, N. A. (2013). Tracking multiple moving objects using gaussian mixture model. International Journal of Soft Computing and Engineering (IJSCE)3, 114–119.
Schilling, M., Watkins, A. and Watkins, W. (2002). Is human height bimodal? Am. Stat. 56, 223–229. https://doi.org/10.1198/00031300265.
Scott, D. W. and Terrell, G. R. (1987). Biased and unbiased cross-validation in density estimation. J. American Stat. Asso. 82, 1131–1146.
Sheather, S. J. and Jones, M. C. (1991). A reliable data-based bandwidth selection method for kernel density estimation. J. Royal. Stat. Soc. Series B (Methodological) 53, 683–690. http://www.jstor.org/stable/2345597.
Silverman, B. (1986). Density Estimation for Statistics and Data Analysis. Monographs on Statistics and Applied Probability, London.
Singh, R. S. (1977). Applications of estimators of a density and its derivatives to certain statistical problems. J. Royal. Stat. Soc. Series B (Methodological)39, 357–363.
Stewart, C. P., Iannotti, L., Dewey, K. G., Michaelsen, K. F. and Onyango, A. W. (2013). Contextualising complementary feeding in a broader framework for stunting prevention. Mat. & Child Nutri. 9, 27–45.
Tanner, J. M. (1987). Growth as a mirror of the condition of society: secular trends and class distinctions. Pediatrics International 29, 96–103. https://doi.org/10.1111/j.1442-200X.1987.tb00015.x.
Yang, M. H. and Ahuja, N. (1998). Gaussian mixture model for human skin color and its applications in image and video databases. InStorage and Retrieval for Image and Video Databases VII, 3656, pp 458–466, Yeung, M. M., Yeo, B. L. and Bouman, C. A. (eds.) https://doi.org/10.1117/12.333865.
Yu, D. and Deng, L. (2016). Automatic Speech Recognition. Springer, Berlin.
Acknowledgements
We would like to acknowledge the Editor-in-Chief of Sankhya, Editor of B Series, Associate Editor, the two anonymous reviewers for the valuable comments and suggestions which led to a substantial improvement of the original manuscript.
ESM 1 (TEX 114 KB)
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Jayasinghe, D.Y., Jayasinghe, C.L. An Investigation into Adult Human Height Distributions Using Kernel Density Estimation. Sankhya B 84, 79–105 (2022). https://doi.org/10.1007/s13571-020-00243-w
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13571-020-00243-w
Keywords and phrases
- Gaussian mixture distribution
- Average adult human height
- Non-parametric estimation
- Kernel density estimate
- Bandwidth.