Murphy Patrick Charles (68 results)

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Paperback or Softback. Condition: New. Shadows of the Gallows. Book.

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Condition: As New. Unread book in perfect condition.

Softcover. xvi, 354 pp. A joint project of the Brookings Institution and the Pew Forum on Religion and Public Life. Softcover. LCC: 2001006142 Very good condition; on covers: touches of wear on edges, and a few light creases; traces of wear on bottom edges of papers, and tiny losses of black color on covers.…

Soft cover. Condition: Fine. 1st Edition.

Condition: New. In English.

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PF. Condition: New.

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Condition: As New. Unread book in perfect condition.

Condition: New. In English.

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Taschenbuch. Condition: Neu. Neuware - 'Shadows of the Gallows' is a gripping first-hand account and a somber reflection on the realities of the American penal system during the early 20th century. Written by Patrick Charles Murphy, who observed the machinery of justice from within prison walls, the work delves into the harrowing environment of life behind bars and the haunting specter of capital punishment. Through a series of vignettes and observations, Murphy provides a rare glimpse into the psyche of those condemned to the gallows and the often-brutal conditions of confinement.The narrative serves as both a personal memoir and a social critique, challenging readers to confront the moral complexities of execution and the effectiveness of incarceration. Murphy's writing is marked by a raw, unflinching honesty as he depicts the daily struggles, the camaraderie among inmates, and the crushing weight of institutionalization. 'Shadows of the Gallows' remains a significant contribution to the literature of criminal justice, offering a poignant perspective on the human element hidden within the legal system. This work stands as a compelling historical document for those interested in true crime, social reform, and the judicial history of the Western United States.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you may see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.…

Taschenbuch. Condition: Neu. Neuware - This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.This work is in the 'public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.…

Taschenbuch. Condition: Neu. Neuware - An algorithm for maximum likelihood (ML) estimation is developed with an efficient method for approximating the sensitivities. The algorithm was developed for airplane parameter estimation problems but is well suited for most nonlinear, multivariable, dynamic systems. The ML algorithm relies on a new optimization method referred to as a modified Newton-Raphson with estimated sensitivities (MNRES). MNRES determines sensitivities by using slope information from local surface approximations of each output variable in parameter space. The fitted surface allows sensitivity information to be updated at each iteration with a significant reduction in computational effort. MNRES determines the sensitivities with less computational effort than using either a finite-difference method or integrating the analytically determined sensitivity equations. MNRES eliminates the need to derive sensitivity equations for each new model, thus eliminating algorithm reformulation with each new model and providing flexibility to use model equations in any format that is convenient. A random search technique for determining the confidence limits of ML parameter estimates is applied to nonlinear estimation problems for airplanes. The confidence intervals obtained by the search are compared with Cramer-Rao (CR) bounds at the same confidence level. It is observed that the degree of nonlinearity in the estimation problem is an important factor in the relationship between CR bounds and the error bounds determined by the search technique. The CR bounds were found to be close to the bounds determined by the search when the degree of nonlinearity was small. Beale's measure of nonlinearity is developed in this study for airplane identification problems; it is used to empirically correct confidence levels for the parameter confidence limits. The primary utility of the measure, however, was found to be in predicting the degree of agreement between Cramer-Rao bounds and search estimates.…

Taschenbuch. Condition: Neu. Neuware - This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface.We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.…

Kartoniert / Broschiert. Condition: New.

Kartoniert / Broschiert. Condition: New. KlappentextrnrnAn algorithm for maximum likelihood (ML) estimation is developed with an efficient method for approximating the sensitivities. The algorithm was developed for airplane parameter estimation problems but is well suited for most nonl.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: Good. Paperback - clean, clean cover, no marks - from private collection -.