@BOOK{NAS:2009,
  author    = {{National Research Council}},
  title     = "Strengthening Forensic Science in the United States: A Path Forward",
  isbn      = "978-0-309-13130-8",
  doi       = "10.17226/12589",
  abstract  =  {{Scores of talented and dedicated people serve the forensic science community, performing vitally important work. However, they are often constrained by lack of adequate resources, sound policies, and national support. It is clear that change and advancements, both systematic and scientific, are needed in a number of forensic science disciplines to ensure the reliability of work, establish enforceable standards, and promote best practices with consistent application. Strengthening Forensic Science in the United States: A Path Forward provides a detailed plan for addressing these needs and suggests the creation of a new government entity, the National Institute of Forensic Science, to establish and enforce standards within the forensic science community.\n\nThe benefits of improving and regulating the forensic science disciplines are clear: assisting law enforcement officials, enhancing homeland security, and reducing the risk of wrongful conviction and exoneration. Strengthening Forensic Science in the United States gives a full account of what is needed to advance the forensic science disciplines, including upgrading of systems and organizational structures, better training, widespread adoption of uniform and enforceable best practices, and mandatory certification and accreditation programs.  \n\nWhile this book provides an essential call-to-action for congress and policy makers, it also serves as a vital tool for law enforcement agencies, criminal prosecutors and attorneys, and forensic science educators. }},
  url       = "http://www.nap.edu/catalog/12589/strengthening-forensic-science-in-the-united-states-a-path-forward",
  year      = 2009,
  publisher = "The National Academies Press",
  address   = "Washington, DC"
}

@article{biasotti:1959,
    author = {Alfred A. Biasotti},
    title = {A Statistical Study of the Individual Characteristics of Fired Bullets},
    journal = {Journal of Forensic Sciences},
    volume = 4,
    number = 1,
    year = 1959,
    pages = {34--50}
}

@Manual{x3pr,
    title = {x3pr: Read/Write functionality for X3P surface metrology format},
    author = {{OpenFMC}},
    year = {2014},
    note = {R package version 1.0},
    url = {https://www.openfmc.org/}
}

@Manual{x3ptools,
    title = {x3ptools: Tools for Working with 3D Surface Measurements},
    author = {Heike Hofmann and Susan VanderPlas and Ganesh Krishnan and Eric Hare},
    year = {2018},
    note = {R package version 0.0.1},
    url = {https://CRAN.R-project.org/package=x3ptools},
}

@Manual{bulletxtrctr,
    title = {bulletxtrctr: Automatic Matching of Bullet Striae},
    author = {Heike Hofmann and Susan Vanderplas and Ganesh Krishnan},
    year = {2018},
    note = {R package version 0.2.0},
    url = {https://heike.github.io/bulletxtrctr/},
}

@article{hare2017,
    author = {Hare, Eric and Hofmann, Heike and Carriquiry, Alicia},
    title = {Automatic matching of bullet land impressions},
    journal = {The Annals of Applied Statistics},
    year = {2017},
    volume = {11},
    number = {4},
    pages = {2332--2356}
}

@PHDTHESIS{harethesis,
    author  = "Eric R. Hare",
    title   = "Statistical methods for bullet matching",
    school  = "Iowa State University",
    year    = "2017",
    address = "https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=6322\&context=etd"
}

@article{afte:1992,
  author={{AFTE Criteria for Identification Committee}},
  year=1992,
  title={Theory of identification, range striae comparison reports and modified glossary definitions – AFTE criteria for identification committee report},
  journal = {AFTE Journal},
  volume=24,
  number=2,
  pages={336--340}
}

@article{hamby:2009,
author ={James E. Hamby and David J. Brundage and James W. Thorpe},
title={{The Identification of Bullets Fired from 10 Consecutively Rifled 9mm Ruger Pistol Barrels: A Research Project Involving 507 Participants from 20 Countries}},
journal={AFTE Journal},
volume={41},
number={2},
year={2009},
pages={99--110}
}

@URL{sensofarsam,
    author = "{Sensofar Metrology}",
    year   = "2016",
    series = "https://www.sensofar.com/wp-content/uploads/2016/06/AppNote-SensoMATCH-Bullet-Comparison.pdf",
    month  = "jun"
}


@article{cleveland:1979,
 ISSN = {01621459},
 URL = {http://www.jstor.org/stable/2286407},
 abstract = {The visual information on a scatterplot can be greatly enhanced, with little additional cost, by computing and plotting smoothed points. Robust locally weighted regression is a method for smoothing a scatterplot, (x<sub>i</sub>, y<sub>i</sub>), i = 1, ⋯, n, in which the fitted value at x<sub>k</sub> is the value of a polynomial fit to the data using weighted least squares, where the weight for (x<sub>i</sub>, y<sub>i</sub>) is large if x<sub>i</sub> is close to x<sub>k</sub> and small if it is not. A robust fitting procedure is used that guards against deviant points distorting the smoothed points. Visual, computational, and statistical issues of robust locally weighted regression are discussed. Several examples, including data on lead intoxication, are used to illustrate the methodology.},
 author = {William S. Cleveland},
 journal = {Journal of the American Statistical Association},
 number = {368},
 pages = {829--836},
 publisher = {Taylor & Francis, Ltd.},
 title = {Robust Locally Weighted Regression and Smoothing Scatterplots},
 volume = {74},
 year = {1979}
}
