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Journal articles on the topic 'Age estimation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

KRYVENCHUK, Yurii, and Roman YAKYMIV. "CREATION OF AGE ESTIMATION SYSTEM." Herald of Khmelnytskyi National University. Technical sciences 309, no. 3 (2022): 66–69. http://dx.doi.org/10.31891/2307-5732-2022-309-3-66-69.

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We are surrounded by different transmitting and processing information devices on a daily basis. Analysis of certain selected characteristics of each person allows humanity to achieve previously unthinkable technological development. In particular, the human face. We can predict a person’s age, determine his mood or identify someone in the crowd using modern algorithms. As a “window to the soul”, the human face provides important information related to its individual traits. With the help of this information, a person can determine such characteristics as ethnic origin, gender, age, and emotio

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2

Liversidge, Helen M., Jo Buckberry, and Nicholas Marquez-Grant. "Age estimation." Annals of Human Biology 42, no. 4 (2015): 299–301. http://dx.doi.org/10.3109/03014460.2015.1089627.

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Schmeling, A., G. Geserick, W. Reisinger, and A. Olze. "Age estimation." Forensic Science International 165, no. 2-3 (2007): 178–81. http://dx.doi.org/10.1016/j.forsciint.2006.05.016.

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Nanjundan, G. "A Note on the Estimation of the Age of a Galton-Watson Process." Mapana - Journal of Sciences 2, no. 1 (2003): 38–42. http://dx.doi.org/10.12723/mjs.3.4.

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Dr., Bilal Mukhtar Dr. Muddasar Hussain Dr. Usman Ali. "DIFFERENT METHODS OF AGE DETERMINATION." INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES 05, no. 11 (2018): 13265–71. https://doi.org/10.5281/zenodo.1560598.

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<em>Age estimation provides a valuable tool in forensic cases. Various methods like morphological age, secondary sexual characters, skeletal age indicators and dental age indicators are used in the forensic investigation as well as in medico-legal cases. Morphological age and secondary sexual characters are not reliable factors for age estimation whereas skeletal age and dental age indicators provide valuable information. This article explains different methods of age estimation.</em> <strong><em>Keywords:</em></strong><em> Age estimation, Morphological age, Secondary Sexual Characters, Skelet

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Nayak, Dr Shruti D., Dr Renjith George, Dr Amarnath Shenoy, and Dr B. Shivapathasundaram Dr. B. Shivapathasundaram. "Age Estimation in Forensic Dentistry- A Review." International Journal of Scientific Research 3, no. 4 (2012): 333–38. http://dx.doi.org/10.15373/22778179/apr2014/117.

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Verma, Vivek, Dilip C. Nath, and S. N. Dwivedi. "Bayesian estimation of fertility rates under imperfect age reporting." Statistics in Transition new series 24, no. 2 (2023): 39–57. http://dx.doi.org/10.59170/stattrans-2023-019.

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This article outlines the application of the Bayesian method of parameter estimation to situations where the probability of age misreporting is high, leading to transfers of an individual from one age group to another. An essential requirement for Bayesian estimation is prior distribution, derived for both perfect and imperfect age reporting. As an alternative to the Bayesian methodology, a classical estimator based on the maximum likelihood principle has also been discussed. Here, the age misreporting probability matrix has been constructed using a performance indicator, which incorporates th

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Zhang, Huiying, Xin Geng, Yu Zhang, and Fanyong Cheng. "Recurrent age estimation." Pattern Recognition Letters 125 (July 2019): 271–77. http://dx.doi.org/10.1016/j.patrec.2019.05.002.

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9

Lanitis, Andreas. "Facial Age Estimation." Scholarpedia 5, no. 1 (2010): 9701. http://dx.doi.org/10.4249/scholarpedia.9701.

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Shang, Yanjie, Yakai Feng, Lipin Ren, et al. "Pupal Age Estimation of Sarcophaga peregrina (Diptera: Sarcophagidae) at Different Constant Temperatures Utilizing ATR-FTIR Spectroscopy and Cuticular Hydrocarbons." Insects 14, no. 2 (2023): 143. http://dx.doi.org/10.3390/insects14020143.

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Sarcophaga peregrina (Robineau-Desvoidy, 1830) (Diptera: Sarcophagidae) is a forensically important flesh fly that has potential value in estimating the PMImin. The precise pupal age estimation has great implications for PMImin estimation. During larval development, the age determination is straightforward by the morphological changes and variation of length and weight, however, the pupal age estimation is more difficult due to anatomical and morphological changes not being visible. Thus, it is necessary to find new techniques and methods that can be implemented by standard experiments for acc

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Hu, Zhenzhen, Yonggang Wen, Jianfeng Wang, Meng Wang, Richang Hong, and Shuicheng Yan. "Facial Age Estimation With Age Difference." IEEE Transactions on Image Processing 26, no. 7 (2017): 3087–97. http://dx.doi.org/10.1109/tip.2016.2633868.

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Lai, Dehe, Yewang Chen, Xiangyu Luo, Jixiang Du, and Tian Wang. "Age estimation with dynamic age range." Multimedia Tools and Applications 76, no. 5 (2016): 6551–73. http://dx.doi.org/10.1007/s11042-015-3230-0.

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13

Kimura, Kunihiko. "Estimation of age at death from second metacarpals." Zeitschrift für Morphologie und Anthropologie 79, no. 2 (1992): 169–81. http://dx.doi.org/10.1127/zma/79/1992/169.

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14

Hidayat, Septian Rahmat, Fahmi Oscandar, Yuti Malinda, et al. "Human age estimation based on pulp volume of canines for chronological age estimation: Preliminary research." Padjadjaran Journal of Dentistry 30, no. 3 (2018): 184. http://dx.doi.org/10.24198/pjd.vol30no3.19302.

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Introduction: Age estimation has an important role in the process of human identification and needs to be performed in an efficient, fast, and accurate ways. Age estimation based on the pulp cavity volume of canines was referring to the theory stated that the apposition of secondary dentine during human life could be determined as an age indicator. This study was aimed to estimate the human age based on the pulp volume of canines for chronological estimation. Methods: Forty-one canine teeth from Cone Beam Computed Tomography (CBCT) 3D image sample from Dental Hospital of the Faculty of Dentist

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Saputri, Rosalina Intan. "Dental Age Estimation of Indonesian Population : A Literature Review." SONDE (Sound of Dentistry) 5, no. 1 (2020): 13–21. http://dx.doi.org/10.28932/sod.v5i1.2380.

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Age is one of the important parts of the identification process, which is an requirement in legal framework, criminal investigation, and, in health care, to provide significant information for diagnosis and treatment planning. Age estimation is a major study in forensic, especially when the information related to the deceased is unavailable. Dental is one of the strong variables which could be used in estimating the age of living or deceased. Dental age estimation methods were mainly based on the changes in tooth development which influenced by diverse internal and external factor. Therefore,

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English, Donald B. K., Eric M. White, J. M. Bowker, and Susan A. Winter. "A Review of the Forest Service's National Visitor Use Monitoring (NVUM) Program." Agricultural and Resource Economics Review 49, no. 1 (2019): 64–90. http://dx.doi.org/10.1017/age.2019.27.

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The National Visitor Use Monitoring (NVUM) program data underlies estimates of the volume of recreation use of the National Forest System. The data also enable estimation of both the local economic contributions and nonmarket benefits of that visitation. Applications include evaluating the effects of natural disasters, site characteristics, and climate change, as well as expenditure and benefit transfers. This article describes the history and science background of the NVUM program, outlines the methods used in estimating market and nonmarket economic outcomes, and lists some examples of resul

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Karaarslan, Bekir, Emine Sirin Karaarslan, Abdul Semih Ozsevik, and Ertan Ertas. "Age Estimation for Dental Patients Using Orthopantomographs." European Journal of Dentistry 04, no. 04 (2010): 389–94. http://dx.doi.org/10.1055/s-0039-1697858.

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Objectives: The aim of this study was to conduct age estimates for dental patients using orthopantomographs (OPGs). The OPGs were selected by an independent author with respect to criteria and evaluated by two independent dentists. The results were compared to chronologic ages. The reliability of the estimates, concurrently made by the two independent dentists using OPGs, was also evaluated.Methods: In this retrospective study, the OPGs of 238 Turkish individuals of known chronological age, ranging from 1 to 60 years, were measured. Patients were then classified. Radiographs were evaluated by

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Stanley, Thomas R. "Estimating Stage-Specific Daily Survival Probabilities of Nests When Nest age is Unknown." Auk 121, no. 1 (2004): 134–47. http://dx.doi.org/10.1093/auk/121.1.134.

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Abstract Estimation of daily survival probabilities of nests is common in studies of avian populations. Since the introduction of Mayfield's (1961, 1975) estimator, numerous models have been developed to relax Mayfield's assumptions and account for biologically important sources of variation. Stanley (2000) presented a model for estimating stage-specific (e.g. incubation stage, nestling stage) daily survival probabilities of nests that conditions on “nest type” and requires that nests be aged when they are found. Because aging nests typically requires handling the eggs, there may be situations

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KAYA, Kenan, and Necmi ÇEKİN. "Age Estimation in Children." Turkiye Klinikleri Journal of Forensic Medicine and Forensic Sciences 15, no. 1 (2018): 24–28. http://dx.doi.org/10.5336/forensic.2018-59773.

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20

Ginsburg, N. "Numerosity Estimation and Age." Perceptual and Motor Skills 79, no. 3_suppl (1994): 1434. http://dx.doi.org/10.2466/pms.1994.79.3f.1434.

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21

Demirkıran, D. Sümeyra. "Methods for age estimation." Dicle Medical Journal/Dicle Tıp Dergisi 41, no. 1 (2014): 238–43. http://dx.doi.org/10.5798/diclemedj.0921.2014.01.0410.

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22

VESTLUND, JENNY, LINDA LANGEBORG, PATRIK SÖRQVIST, and MÅRTEN ERIKSSON. "Experts on age estimation." Scandinavian Journal of Psychology 50, no. 4 (2009): 301–7. http://dx.doi.org/10.1111/j.1467-9450.2009.00726.x.

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23

Whitehouse, William. "Estimation of gestational age." Lancet 341, no. 8842 (1993): 440–41. http://dx.doi.org/10.1016/0140-6736(93)93038-3.

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Miller, Geoffrey. "Estimation of gestational age." Pediatric Neurology 4, no. 2 (1988): 129. http://dx.doi.org/10.1016/0887-8994(88)90058-6.

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25

Surya A, Kavya Sri Vaipava S, Ashika Deulin J, and Janani S. "Cognitive Brain Age Estimation." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 03 (2025): 648–52. https://doi.org/10.47392/irjaeh.2025.0089.

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Cognitive brain age estimation combines computational techniques with health sciences to assess cognitive health. Traditional methods like neuroimaging and clinical evaluations are costly and not scalable. This research proposes a machine learning-based system for cognitive age estimation using non-invasive data, including speech patterns, behavioral metrics, and lifestyle factors. The system follows a modular architecture with data collection, preprocessing, feature extraction, and predictive modelling. By analyzing behavioral logs, speech characteristics, and lifestyle metrics, it generates

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Maunder, Mark N., and Richard B. Deriso. "Estimation of recruitment in catch-at-age models." Canadian Journal of Fisheries and Aquatic Sciences 60, no. 10 (2003): 1204–16. http://dx.doi.org/10.1139/f03-104.

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Management strategies must be designed to take into account the uncertainty inherent in fish populations and their assessments. Annual recruitment variation is an important component of uncertainty. Several methods that allow the estimation of annual recruitment in statistical catch-at-age models are described: (a) maximum likelihood estimation with no penalty on the annual recruitment residuals, (b) maximum likelihood estimation with a lognormal penalty on the annual recruitment residuals, (c) importance sampling to numerically approximate the marginal likelihood with a lognormal penalty on t

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Williams, Brett, Malcolm Boyle, and Peter O'Meara. "Can Undergraduate Paramedic and Nursing Students Accurately Estimate Patient Age and Weight?" Prehospital and Disaster Medicine 25, no. 2 (2010): 171–77. http://dx.doi.org/10.1017/s1049023x00007937.

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Introduction:Accurate estimation of a patient's age and weight are skills expected of all healthcare clinicians, including paramedics and nurses. It is necessary because patients may be unable to communicate such information due to unconsciousness or an altered state of conscious. Age and weight estimation influence calculation for medication dosages, defibrillation, equipment sizing, and other invasive procedures such as intubation. The objective of this study was to identify whether undergraduate paramedic and nursing students were able to accurately estimate a patient's age and weight based

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28

Liao, Haibin, Yuchen Yan, Wenhua Dai, and Ping Fan. "Age Estimation of Face Images Based on CNN and Divide-and-Rule Strategy." Mathematical Problems in Engineering 2018 (June 5, 2018): 1–8. http://dx.doi.org/10.1155/2018/1712686.

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In recent years, the research on age estimation based on face images has drawn more and more attention, which includes two processes: feature extraction and estimation function learning. In the aspect of face feature extraction, this paper leverages excellent characteristics of convolution neural network in the field of image application, by using deep learning method to extract face features, and adopts factor analysis model to extract robust features. In terms of age estimation function learning, age-based and sequential study of rank-based age estimation learning methods is utilized and the

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Zhang, Yifei, Jinping Bi, Yao Ning, and Jiang Feng. "Methodology Advances in Vertebrate Age Estimation." Animals 14, no. 2 (2024): 343. http://dx.doi.org/10.3390/ani14020343.

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Age is a core metric in vertebrate management, and the correct estimation of the age of an individual plays a principal role in comprehending animal behavior, identifying genealogical information, and assessing the potential reproductive capacity of populations. Vertebrates have a vertebral column and a distinct head containing a developed brain; they have played an important role in the study of biological evolution. However, biological age estimations constantly exhibit large deviations due to the diversity of vertebrate taxon species, sample types, and determination methods. To systematical

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Bolancé, Catalina, and Montserrat Guillen. "Nonparametric Estimation of Extreme Quantiles with an Application to Longevity Risk." Risks 9, no. 4 (2021): 77. http://dx.doi.org/10.3390/risks9040077.

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A new method to estimate longevity risk based on the kernel estimation of the extreme quantiles of truncated age-at-death distributions is proposed. Its theoretical properties are presented and a simulation study is reported. The flexible yet accurate estimation of extreme quantiles of age-at-death conditional on having survived a certain age is fundamental for evaluating the risk of lifetime insurance. Our proposal combines a parametric distributions with nonparametric sample information, leading to obtain an asymptotic unbiased estimator of extreme quantiles for alternative distributions wit

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A.Annie Micheal. "Age Estimation using Lightweight Convolution Neural Network." Journal of Information Systems Engineering and Management 10, no. 11s (2025): 17–24. https://doi.org/10.52783/jisem.v10i11s.1486.

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Introduction: Currently, age estimation is significant in sectors such as age-specific human-computer interaction, security control, surveillance monitoring, Electronic customer relationship management, and forensic art. Nowadays makeup is used by all groups of people. Makeup is now commonly used to boost an individual's confidence and self-esteem. Makeup can give a person a younger or older appearance depending on their makeup choice. This transformation is caused due to varied makeup products such as eyeliner, lipstick, foundation, compact powder, mascara, and eye pencil. These products impa

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Drusini, Andrea G. "Age estimation from teeth using soft X-ray findings." Anthropologischer Anzeiger 51, no. 1 (1993): 41–46. http://dx.doi.org/10.1127/anthranz/51/1993/41.

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Mishra, Ramkrishna, Vinay Kumar Srivastava, Surendra Kumar Pandey, and Naveen Kumar PG. "Dental Age Estimation using Demirjian's Methods: A Comparative study." Indian Journal of Forensic Medicine and Pathology 15, no. 4 (2022): 263–74. http://dx.doi.org/10.21088/ijfmp.0974.3383.15422.9.

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context: There are various methods have been developed for dental age estimation, of these; Demirjian’s seven teeth method is the most tested and accepted method worldwide. It is based on tooth development rather than tooth eruption, because the developmental process is strictly controlled by genes and less inﬂuenced by dietary insufficiency, endocrinal disturbances, and environmental insults. aims: The purpose of this study is to evaluate the applicability of two Demirjian’s methods in a sample of the Varanasi region. setting and design: This is a cross-sectional prospective study. material a

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Kask, Kristjan, and Mariliis Tael-Öeren. "How Young/Old Does One Look? Sales Personnel’s and Laypersons’ Estimation of Young People’s Age." Juridica International 25 (November 5, 2017): 82. http://dx.doi.org/10.12697/ji.2017.25.09.

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Several studies have found that the level of alcohol use among minors both in Europe generally and in Estonia is relatively high. However, we have less knowledge of issues related to age estimations in this field. Therefore, research was conducted to examine how accurate sales personnel in Estonia are in estimating the age of young people and, in addition, to compare salespersons and laypersons (i.e., persons not working in shops that sell food and alcohol) with regard to their ability to make accurate age estimations. For this purpose, 20 salespersons and 20 laypersons participated in an expe

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Patyal, Shama, and Tejasvi Pandey. "Estimation of age from digital chest radiographs in district Mandi, Himachal Pradesh." Problems of Forensic Sciences, no. 132 (May 8, 2023): 229–39. http://dx.doi.org/10.4467/12307483pfs.22.012.17685.

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In forensic investigations estimation of age is a crucial part. Age estimation assists in narrow downing the search possibilities in the case of unidentified bodies and living individuals, it can also help in the determination of preparators and deciding the penalty for any criminal liability. Different body parts are often investigated at the crime scene, so estimating the age using different areas of the body is important. Hence, we conducted this study for age estimation from costal cartilage calcification. Only posterior-anterior (PA) digital chest radiographs are taken, and the first rib

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Deng, Yulan, Shaohua Teng, Lunke Fei, Wei Zhang, and Imad Rida. "A Multifeature Learning and Fusion Network for Facial Age Estimation." Sensors 21, no. 13 (2021): 4597. http://dx.doi.org/10.3390/s21134597.

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Age estimation from face images has attracted much attention due to its favorable and many real-world applications such as video surveillance and social networking. However, most existing studies usually learn a single kind of age feature and ignore other appearance features such as gender and race, which have a great influence on the age pattern. In this paper, we proposed a compact multifeature learning and fusion method for age estimation. Specifically, we first used three subnetworks to learn gender, race, and age information. Then, we fused these complementary features to further form mor

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Demetrescu, Traian Cristian, and Cristian Oliviu Burada. "Estimation of Construction Depreciation by the Age-of-Life Method." Applied Mechanics and Materials 880 (March 2018): 365–70. http://dx.doi.org/10.4028/www.scientific.net/amm.880.365.

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Estimation of construction depreciation is an important element in the valuation of real estate by cost approach. The age method - economic life is one of the three methods of estimating the total depreciation of the buildings used by the authorized evaluators in Romania. The two elements used in estimating total depreciation are actual age and economic life. For estimating the economic lifetime a quantitative method can be used using market data.

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Solheim, Tore, and Anne Vonen. "Dental age estimation, quality assurance and age estimation of asylum seekers in Norway." Forensic Science International 159 (May 2006): S56—S60. http://dx.doi.org/10.1016/j.forsciint.2006.02.016.

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Mankel, Dr Hemant, Dr charvi Gupta, and Dr Akash Ghosh. "DENTAL AGE ESTIMATION USING DEMIRIJAN’S 7 TEETH AND 8 TEETH METHOD APPLYING IN RAJASTHAN (KOTA) POPULATION." EPH - International Journal of Medical and Health Science 4, no. 2 (2018): 29–32. http://dx.doi.org/10.53555/eijmhs.v4i2.35.

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Introduction Accurate age estimation is required in the field of health sciences, as it is relevant to the timing of various treatment procedures. Differences in the development among children of the same chronological age have led to the concept of physiologic age as a means to define progress toward completeness of development or maturity in the individual child. The most common dental age estimation methods are Nolla &Demirjin’s.Demirijan’s being the more result oriented method of age estimation.  Aim and Objective: To evaluate the Dental age estimation using Demirijan’s 8 teeth m

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Naiá, Taís Magalhães de Carvalho. "ACCURACY OF ANTHROPOMETRIC METHODS IN AGE ESTIMATION THROUGH THE SKULL." RevistaFT 27, no. 118 (2023): 89. https://doi.org/10.5281/zenodo.12615989.

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The accuracy of age estimation through cranial measurements is crucial in forensic anthropology and archaeology. This process involves analyzing specific cranial features to determine age, aiding in the identification of skeletal remains and understanding past populations. Technological and methodological advancements have improved the precision and reliability of these estimations. Various studies highlight different approaches: Tobel et al. (2019) showed that combining MRI data from multiple anatomical sites enhances accuracy; Galera, Ubelaker, and Hayek (1998) found methods focusing on endo

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Mayberry, Chris, Roberta Bencini, Peter R. Mawson, and Shane K. Maloney. "Estimating the age of western grey kangaroos (Macropus fuliginosus ocydromus)." Australian Mammalogy 40, no. 2 (2018): 254. http://dx.doi.org/10.1071/am16058.

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Scientific studies and population management may benefit from knowledge of the age structure of a target population. We evaluated traditional and newly developed methods of estimating the age of kangaroos with data from 336 western grey kangaroos (Macropus fuliginosus) culled from a wild population in south-western Australia. We compared their ages based on molar progression with data on head, leg, and foot length, a balanced sum of all three measures, dried eye-lens weight, and molar wear score, and derived formulae to estimate age from each variable. Molar wear score has a linear relationshi

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Aalaa Ahmed Mohammed and Yusra Faisal Al-Irhayim. "Speaker Age and Gender Estimation Based on Deep Learning Bidirectional Long-Short Term Memory (BiLSTM)." Tikrit Journal of Pure Science 26, no. 4 (2021): 67–84. http://dx.doi.org/10.25130/tjps.v26i4.166.

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Estimating the age and gender of the speaker has gained great importance in recent years due to its necessity in various commercial, medical and forensic applications. This work estimates the speakers gender and ages in small range of years where every ten years has been divided into two subcategories for a span of years extending from teens to sixties. A system of speaker age and gender estimation uses Mel Frequency Cepstrum Coefficient (MFCC) as a features extraction method, and Bidirectional Long-Short Term Memory (BiLSTM) as a classification method. Two models of two deep neural networks w

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Diekmann, Yoan, Daniel Smith, Pascale Gerbault, et al. "Accurate age estimation in small-scale societies." Proceedings of the National Academy of Sciences 114, no. 31 (2017): 8205–10. http://dx.doi.org/10.1073/pnas.1619583114.

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Precise estimation of age is essential in evolutionary anthropology, especially to infer population age structures and understand the evolution of human life history diversity. However, in small-scale societies, such as hunter-gatherer populations, time is often not referred to in calendar years, and accurate age estimation remains a challenge. We address this issue by proposing a Bayesian approach that accounts for age uncertainty inherent to fieldwork data. We developed a Gibbs sampling Markov chain Monte Carlo algorithm that produces posterior distributions of ages for each individual, base

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Vanishri, Perugu, and Nishat Ahmed Sheikh. "Stature Estimation from Foot Length of School Age Group Children." Indian Journal of Forensic Medicine and Pathology 10, no. 1 (2017): 11–16. http://dx.doi.org/10.21088/ijfmp.0974.3383.10117.2.

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Wilberg, Michael J., and James R. Bence. "Performance of time-varying catchability estimators in statistical catch-at-age analysis." Canadian Journal of Fisheries and Aquatic Sciences 63, no. 10 (2006): 2275–85. http://dx.doi.org/10.1139/f06-111.

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We used Monte Carlo simulations to evaluate how different methods of estimating fishery catchability within statistical catch-at-age analysis (SCA) performed when fishery catchability changed over time. Data-generating models included cases where catchability changed abruptly or gradually over time and where catchability was explicitly a function of population abundance, and we considered corresponding estimation models. In many cases, including fishery effort data in the estimation model and allowing catchability to follow a random walk provided the best (or nearly best) estimates of biomass

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Wilak, Kamil. "Autocorrelation of error estimations in Labour Force Surveys." Wiadomości Statystyczne. The Polish Statistician 60, no. 6 (2015): 31–40. http://dx.doi.org/10.5604/01.3001.0016.0826.

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Rotating panel used in the Labour Force Survey (LFS) causes correlation possibility of estimations of labor markets errors. Knowledge of autocorrelation is important in the context of the trend estimation of labor market parameters. Dismissal of autocorrelation can result in the trend curve it will be fraught with volatility, characteristic of auto-regression processes. Estimation errors are not observable, thus it is not possible to estimate the autocorrelation coefficients by conventional estimators. This paper describes the adaptation of methods for estimating the errors of autocorrelation

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Gunjal, Aishwarya, and Deepa Abin. "Survey on Age Estimation System." International Journal of Computer Applications 182, no. 3 (2018): 1–4. http://dx.doi.org/10.5120/ijca2018917478.

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Gallant, Roy, Tara Fidler, and Kim A. Dawson. "Subjective Time Estimation and Age." Perceptual and Motor Skills 72, no. 3_suppl (1991): 1275–80. http://dx.doi.org/10.2466/pms.1991.72.3c.1275.

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Böhme, Petra, Alexandra Reckert, Julia Becker, and Stefanie Ritz-Timme. "Molecular methods for age estimation." Rechtsmedizin 31, no. 3 (2021): 177–82. http://dx.doi.org/10.1007/s00194-021-00490-9.

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