William R. Bell - Böcker

AN INSIDE LOOK INTO INVESTIGATING THE MOST VIOLENT SUB-CULTURE IN THE WORLDOnce an offender is behind bars, many people believe that he is no longer a threat to society. However, the felonious activities of confined inmates reach out into society every day. These inmates run lucrative drug operations, commit fraud, hire contract murders, and commit a multitude of criminal offenses from inside the walls of our prisons. This book provides an in-depth resource guide to the relatively new field of corrections investigation.Illustrating the differences between street and prison investigations, Practical Criminal Investigations in Correctional Facilities provides a detailed list of how tos as well as numerous captivating case histories and photographs of actual crime scenes and evidentiary items. Chapters on intelligence gathering, undercover operations, and the use of confidential informants will aid you in the complex crimes that sometimes even involve officers and civilians. The book also covers legal aspects such as warrants, court preparation, and testimony to help you take a case from investigation to prosecution.Prison investigators must be able to respond effectively to every crime imaginable, from a grizzly homicide to a complex fraud case. Whether you're a long-time administrator or a novice criminal justice professional, Practical Criminal Investigations in Correctional Facilities gives you sound advice on how to handle crime in a community in which 100% of the population are convicted felons.ABOUT THE AUTHORComing from a family whose involvement with law enforcement dates back to the Civil War, William Bell's own education and career spans more than thirty years. Greatly influenced by his father, a retired Police Inspector, he began with the Dearborn, Michigan, Police Department where his responsibilities included work in road patrol, SWAT, undercover narcotics, and pattern crime. For nearly twenty years the author has been employed by the Colorado Department of Corrections, where he ultimately gained his expertise with the Criminal Investigation Division. He is noted for taking the investigation of prison crime into the streets.

Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time series modeling and seasonal adjustment, as is reflected both in the contents of the chapters and in their authorship, with contributors coming from academia and government statistical agencies.For easier perusal and absorption, the contents have been grouped into seven topical sections: Section I deals with periodic modeling of time series, introducing, applying, and comparing various seasonally periodic modelsSection II examines the estimation of time series components when models for series are misspecified in some sense, and the broader implications this has for seasonal adjustment and business cycle estimationSection III examines the quantification of error in X-11 seasonal adjustments, with comparisons to error in model-based seasonal adjustmentsSection IV discusses some practical problems that arise in seasonal adjustment: developing asymmetric trend-cycle filters, dealing with both temporal and contemporaneous benchmark constraints, detecting trading-day effects in monthly and quarterly time series, and using diagnostics in conjunction with model-based seasonal adjustmentSection V explores outlier detection and the modeling of time series containing extreme values, developing new procedures and extending previous workSection VI examines some alternative models and inference procedures for analysis of seasonal economic time seriesSection VII deals with aspects of modeling, estimation, and forecasting for nonseasonal economic time seriesBy presenting new methodological developments as well as pertinent empirical analyses and reviews of established methods, the book provides much that is stimulating and practically useful for the serious researcher and analyst of economic time series.