01217nam 2200373Ka 450 991069624800332120071113155730.0(CKB)5470000002376342(OCoLC)181104332(EXLCZ)99547000000237634220071113d2007 ua 0engtxtrdacontentcrdamediacrrdacarrierSome assembly required[electronic resource] Sudan's Comprehensive Peace Agreement /Timothy CarneyWashington, DC :U.S. Institute of Peace,[2007]14 pages digital, PDF fileSpecial report ;194Title from title screen (viewed on Nov. 13, 2007)."November 2007."Some assembly required Peace-buildingSudanSudanHistoryCivil War, 1983-2005PeaceSudanPolitics and government1985-Peace-buildingCarney Timothy Michael1413388United States Institute of Peace.GPOGPOBOOK9910696248003321Some assembly required3509695UNINA02575nam 2200589 450 991080823550332120230803213517.01-62637-292-610.1515/9781626372924(CKB)3710000000456462(EBL)3433708(SSID)ssj0001531795(PQKBManifestationID)12581563(PQKBTitleCode)TC0001531795(PQKBWorkID)11464059(PQKB)11217078(MiAaPQ)EBC3433708(Au-PeEL)EBL3433708(CaPaEBR)ebr11084873(OCoLC)920812481(DE-B1597)623070(DE-B1597)9781626372924(EXLCZ)99371000000045646220130701d2014 uy| 0engur|n|---|||||txtccrBattered women doing time injustice in the criminal justice system /Rachel Zimmer SchneiderBoulder, Col :FirstForumPress,2014.1 online resource (150 p.)Description based upon print version of record.1-935049-79-8 Includes bibliographical references (pages 143-149) and index.Strength, survival, and resilience -- Life before prison -- The killing and the aftermath -- Life on the inside -- Clemency : denied -- Clemency : granted -- Deserving or not? -- Making sense of it all.When is killing an abusive partner an act of murder, and when is it self-defense? How does our criminal justice system deal with battered women who kill, and to what effect? Rachel Schneider traces the lives of women who sought clemency after being imprisoned for killing their abusers, drawing on a series of intimate interviews to explore the circumstances leading up to the killings, the women’s experiences in the courts and in prison, and the diverging paths of those whose sentences were commuted and those who will spend their lives behind bars.Women murderersUnited StatesAbused womenUnited StatesPsychologyAbused womenLegal status, laws, etcUnited StatesWomen murderersAbused womenPsychology.Abused womenLegal status, laws, etc.364.152Schneider Rachel Zimmer1712076MiAaPQMiAaPQMiAaPQBOOK9910808235503321Battered women doing time4103929UNINA05293nam 22007934a 450 991082825420332120200520144314.097866123655539781282365551128236555X9780470277539047027753X9781615832057161583205X97804702763100470276312(CKB)1000000000687167(EBL)468622(OCoLC)609847375(SSID)ssj0000303787(PQKBManifestationID)11228564(PQKBTitleCode)TC0000303787(PQKBWorkID)10276382(PQKB)10146270(MiAaPQ)EBC468622(Au-PeEL)EBL468622(CaPaEBR)ebr10296506(CaONFJC)MIL236555(OCoLC)72149937(FINmELB)ELB177834(Perlego)2772170(EXLCZ)99100000000068716720061030d2007 uy 0engurcn|||||||||txtccrMultivariate and probabilistic analyses of sensory science problems /Jean-Francois Meullenet, Rui Xiong, and Christopher J. Findlay1st ed.[Chicago, Ill.] IFT Press ;Ames, Iowa Blackwell Pub.20071 online resource (258 p.)IFT PressDescription based upon print version of record.9780813801780 0813801788 Includes bibliographical references and index.Multivariate and Probabilistic Analyses of Sensory Science Problems; Table of Contents; Introduction; Chapter 1. A Description of Sample Data Sets Used in Further Chapters; 1.1. A Description of Example Data Sets; References; Chapter 2. Panelist and Panel Performance: A Multivariate Experience; 2.1. The Multivariate Nature of Sensory Evaluation; 2.2. Univariate Approaches to Panelist Assessment; 2.3. Multivariate Techniques for Panelist Performance; 2.4. Panel Evaluation through Multivariate Techniques; 2.5. Conclusions; References; Chapter 3. A Nontechnical Description of Preference Mapping3.1. Introduction 3.2. Internal Preference Mapping; 3.3. External Preference Mapping; 3.4. Conclusions; References; Chapter 4. Deterministic Extensions to Preference Mapping Techniques; 4.1. Introduction; 4.2. Application and Models Available; 4.3. Conclusions; References; Chapter 5. Multidimensional Scaling and Unfolding and the Application of Probabilistic Unfolding to Model Preference Data; 5.1. Introduction; 5.2. Multidimensional Scaling (MDS) and Unfolding; 5.3. Probabilistic Approach to Unfolding and Identifying the Drivers of Liking; 5.4. Examples; ReferencesChapter 6. Consumer Segmentation Techniques 6.1. Introduction; 6.2. Methods Available; 6.3. Segmentation Methods Using Hierarchical Cluster Analysis; References; Chapter 7. Ordinal Logistic Regression Models in Consumer Research; 7.1. Introduction; 7.2. Limitations of Ordinary Least Squares Regression; 7.3. Odds, Odds Ratio, and Logit; 7.4. Binary Logistic Regression; 7.5. Ordinal Logistic Regression Models; 7.6. Porportional Odds Model (POM); 7.7. Conclusions; References; Chapter 8. Risk Assessment in Sensory and Consumer Science; 8.1. Introduction8.2. Concepts of Quantitative Risk Assessment 8.3. A Case Study: Cheese Sticks Appetizers; 8.4. Conclusions; References; Chapter 9. Application of MARS to Preference Mapping; 9.1. Introduction; 9.2. MARS Basics; 9.3. Setting Control Parameters and Refining Models; 9.4. Example of Application of MARS; 9.5. A Comparison with PLS Regression; References; Chapter 10. Analysis of Just About Right Data; 10.1. Introduction; 10.2. Basics of Penalty Analysis; 10.3. Boot strapping Penalty Analysis; 10.4. Use of MARS to Model JAR Data; 10.5. A Proportional Odds/Hazards Approach to Diagnostic Data Analysis10.6. Use of Dummy Variables to Model JAR DataReferences; IndexSensory scientists are often faced with making business decisions based on the results of complex sensory tests involving a multitude of variables. Multivariate and Probabilistic Analyses of Sensory Science Problems explains the multivariate and probabilistic methods available to sensory scientists involved in product development or maintenance. The techniques discussed address sensory problems such as panel performance, product profiling, and exploration of consumer data, including segmentation and identifying drivers of liking. Applied in approach and written forIFT Press series.FoodSensory evaluationStatistical methodsMultivariate analysisFoodSensory evaluationStatistical methods.Multivariate analysis.664/.07Meullenet J.-F(Jean-Francois),1968-855731Xiong Rui855732Findlay Christopher J855733MiAaPQMiAaPQMiAaPQBOOK9910828254203321Multivariate and probabilistic analyses of sensory science problems1910562UNINA