Investigating Missing Children Cases: A Guide for First Responders and Investigators
Autor Donald F. Spragueen Limba Engleză Hardback – 28 iun 2018
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Specificații
ISBN-13: 9781138458611
ISBN-10: 1138458619
Pagini: 314
Dimensiuni: 156 x 234 mm
Greutate: 0.74 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
ISBN-10: 1138458619
Pagini: 314
Dimensiuni: 156 x 234 mm
Greutate: 0.74 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
Public țintă
Academic and Professional Practice & DevelopmentCuprins
Introduction and Background. The Problem. The Victim and the Offender. Federal and State Statutes: Runaway and Missing Children. Missing Children Abduction Motives, Lures, and Tactics. Response and Initial Interview. Missing Children Crime Scenes and Neighborhood Canvass. Missing Children Endangerment Risk Assessment (ERA). Getting the Information Out. Incident Command Center and Civilian Volunteers. Long-Term and Cold Cases Reunification. False Police Reports. Runaways and Thrownaways. Missing Benign Episode (MBE).Missing Involuntary, Lost, or Injured (MILI). Family Child Abduction (FCA). International Family Child Abduction (IFCA). Nonfamily Child Abduction (NFCA). Stereotypical Nonfamily Child Abduction (SNFCA). Infant Abduction (IA). Internet Child Abduction (ICA). Human Sex Trafficking. Missing Children Resources. Glossary. Appendices.
Descriere
Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics includes a number of expanded and additional worked examples.Organized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R. Focusing on the R software, the first section covers:Basic elements of the R software and data processingClear, concise visualization of results, using simple and complex graphs Programming basics: pre-defined and user-created functions The second section of the book presents R methods for a wide range of traditional statistical data processing techniques, including: Regression methodsAnalyses of variance and covariance Classification methodsExploratory multivariate analysis Clustering methodsHypothesis tests After a short presentation of the method, the book explicitly details the R command lines and gives commented results. Accessible to novices and experts alike, R for Statistics is a clear and enjoyable resource for any scientist. Datasets and all the results described in this book are available on the book‘s webpage at http://www.agrocampus-ouest.fr/math/RforStat