Ontology type: schema:Chapter
1990
AUTHORSRichard S. Frank , Stanley P. Sobol
ABSTRACTThe history of forensic science has been characterized by dramatic advances in techniques which enable information to be gleaned from ever smaller quantities of material. Most of the literature is devoted to technical advances, much less attention has been paid to the procedures for interpreting the information objectively and efficiently. This is a review of the most important advances which have been made in the theory of interpreting scientific evidence in the context of the forensic transfer problem. Increasingly the literature on interpretation employs what is known as Bayesian inference. The Bayesian approach to evaluating transfer evidence is explained and illustrated by simple examples. The problems of communicating a scientific assessment of evidence to a court are briefly discussed. Any attempts to move towards more objective methods demand background information in various forms and a number of attempts by forensic scientists to establish data collections and to study the nature of evidential transfer are reviewed. Interpretation is a difficult subject, which is the reason why progress has been slow, but the article attempts to explain some simple principles which should be helpful to any scientist in the field, whatever the discipline. More... »
PAGES141-179
Forensic Science Progress
ISBN
978-3-642-75188-2
978-3-642-75186-8
http://scigraph.springernature.com/pub.10.1007/978-3-642-75186-8_5
DOIhttp://dx.doi.org/10.1007/978-3-642-75186-8_5
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1040109392
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0104",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Statistics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Mathematical Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Drug Enforcement Administration",
"id": "https://www.grid.ac/institutes/grid.484223.b",
"name": [
"Forensic Sciences Section, Drug Enforcement Administration, Washington, D.C.\u00a020537, USA"
],
"type": "Organization"
},
"familyName": "Frank",
"givenName": "Richard S.",
"id": "sg:person.013002423377.81",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013002423377.81"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Drug Enforcement Administration",
"id": "https://www.grid.ac/institutes/grid.484223.b",
"name": [
"Special Testing and Research Laboratory, Drug Enforcement Administration, 7704 Old Springhouse Road, McLean, Virginia\u00a022102, USA"
],
"type": "Organization"
},
"familyName": "Sobol",
"givenName": "Stanley P.",
"id": "sg:person.013600003777.44",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013600003777.44"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://app.dimensions.ai/details/publication/pub.1002330862",
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4612-5256-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002330862",
"https://doi.org/10.1007/978-1-4612-5256-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4612-5256-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002330862",
"https://doi.org/10.1007/978-1-4612-5256-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/hdy.1951.5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014585766",
"https://doi.org/10.1038/hdy.1951.5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/hdy.1951.5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014585766",
"https://doi.org/10.1038/hdy.1951.5"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0015-7368(67)70394-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046268416"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0015-7368(66)70292-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047755646"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/biomet/64.2.207",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059418634"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/biomet/65.3.646",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059418799"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/biomet/67.1.243",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059418944"
],
"type": "CreativeWork"
}
],
"datePublished": "1990",
"datePublishedReg": "1990-01-01",
"description": "The history of forensic science has been characterized by dramatic advances in techniques which enable information to be gleaned from ever smaller quantities of material. Most of the literature is devoted to technical advances, much less attention has been paid to the procedures for interpreting the information objectively and efficiently. This is a review of the most important advances which have been made in the theory of interpreting scientific evidence in the context of the forensic transfer problem. Increasingly the literature on interpretation employs what is known as Bayesian inference. The Bayesian approach to evaluating transfer evidence is explained and illustrated by simple examples. The problems of communicating a scientific assessment of evidence to a court are briefly discussed. Any attempts to move towards more objective methods demand background information in various forms and a number of attempts by forensic scientists to establish data collections and to study the nature of evidential transfer are reviewed. Interpretation is a difficult subject, which is the reason why progress has been slow, but the article attempts to explain some simple principles which should be helpful to any scientist in the field, whatever the discipline.",
"editor": [
{
"familyName": "Maehly",
"givenName": "A.",
"type": "Person"
},
{
"familyName": "Williams",
"givenName": "R.L.",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/978-3-642-75186-8_5",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"978-3-642-75188-2",
"978-3-642-75186-8"
],
"name": "Forensic Science Progress",
"type": "Book"
},
"name": "The Theory of Interpreting Scientific Transfer Evidence",
"pagination": "141-179",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-3-642-75186-8_5"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"bf1116ca0b7aa47a0e28540426f8faa80a62b6c4061c5f08d733d9ddff0157cc"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1040109392"
]
}
],
"publisher": {
"location": "Berlin, Heidelberg",
"name": "Springer Berlin Heidelberg",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-3-642-75186-8_5",
"https://app.dimensions.ai/details/publication/pub.1040109392"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-15T18:12",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8681_00000268.jsonl",
"type": "Chapter",
"url": "http://link.springer.com/10.1007/978-3-642-75186-8_5"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-75186-8_5'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-75186-8_5'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-75186-8_5'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-75186-8_5'
This table displays all metadata directly associated to this object as RDF triples.
103 TRIPLES
23 PREDICATES
35 URIs
20 LITERALS
8 BLANK NODES