LEADER 01344nam a2200289 i 4500 001 991003276459707536 008 160913s1993 caua b 001 0 eng d 020 $a0937175803 035 $ab14307467-39ule_inst 040 $aBibl. Dip.le Aggr. Ingegneria Innovazione - Sez. Ingegneria Innovazione$beng 082 00$a005.43$220 100 1 $aFrisch, AEleen$0253420 245 10$aEssential system administration /$cAEleen Frisch 250 $aMinor corrections 260 $aSebastopol, CA :$bO'Reilly & Associates,$c1993 300 $axxiii, 440 p. :$bill. ;$c23 cm 440 2$aA Nutshell handbook 504 $aIncludes bibliographical references and index. 630 00$aUNIX (Computer file) 650 0$aOperating systems (Computers) 907 $a.b14307467$b13-09-16$c13-09-16 912 $a991003276459707536 945 $aLE026 005.43 FRI 01.01 C.1 1993 Scaff. A/5$cC.1$g1$i2026000070483$lle026$mRiporre sullo scaffale A/5$nProf. Tommasi / Dono$og$pE20.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i15780545$z13-09-16 945 $aLE026 005.43 FRI 01.01 C.2 1993 Scaff. A/5$cC.2$g1$i2026000070490$lle026$mRiporre sullo scaffale A/5$nProf. Tommasi / Dono$og$pE20.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i15780557$z13-09-16 996 $aEssential system administration$9103047 997 $aUNISALENTO 998 $ale026$b13-09-16$cm$da $e $feng$gcau$h0$i0 LEADER 04544nam 22006135 450 001 9911001787703321 005 20240314154608.0 010 $a3-030-50003-9 024 7 $a10.1007/978-3-030-50003-0 035 $a(CKB)4100000011558785 035 $a(MiAaPQ)EBC6383568 035 $a(DE-He213)978-3-030-50003-0 035 $a(EXLCZ)994100000011558785 100 $a20201005d2020 u| 0 101 0 $aeng 135 $aurcn#|||||||| 181 $ctxt$2rdacontent 181 $csti$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aShaping Psychology $ePerspectives on Legacy, Controversy and the Future of the Field /$fby Tomasz Witkowski 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Palgrave Macmillan,$d2020. 215 $a1 online resource (viii, 331 pages, 16 illustrations, 15 illustrations in colour.) 300 $aIncludes index. 311 08$a3-030-50002-0 320 $aIncludes bibliographical references and index. 327 $a1. Introduction -- 2. Elizabeth F. Loftus: Cognitive Psychology, Witness Testimony and Human Memory -- 3. Jerome Kagan: Temperament, Developmental Psychology and Methodology -- 4. Michael I. Posner: Cognitive Neuroscience, Attention Networks and Training the Brain -- 5. Scott O. Lilienfeld: Clinical Psychology, Evidence-Based Treatments and Skepticism -- 6. Robert J. Sternberg: Intelligence, Love, Creativity and Wisdom -- 7. Robert Plomin: Behavioral Genetics -- 8. Susan J. Blackmore: Parapsychology, Memetics and Consciousness -- 9. Joseph E. LeDoux: Fear, Anxiety, Emotions, Consciousness and Evolution -- 10. Noam Chomsky: Psycholinguistics -- 11. Roy F. Baumeister: Self-esteem, Self-control and the Power of Will -- 12. Erica Burman: Developmental Psychology, Feminist Research and Methodology -- 13. Brian A. Nosek: Open Science and Reproducibility Projects -- 14. VikramH. Patel: Global Mental Health -- 15. Daniel Kahneman: Decision-making, Adversarial Collaboration and Hedonic Psychology -- 16. Carol A. Tavris: Cognitive Dissonance, Gender, Feminism, and Skepticism. 330 $aShaping Psychology is a unique collection of in-depth conversations with a selection of the most influential psychologists working today, conducted at the end of a decade that shook psychological science. They provide insights into the controversies at the heart of contemporary psychology, revealing a clash of visions of what psychological science is all about and what its future holds. They are candid on the crisis in psychology and explore its causes, consequences and how to overcome it. They also discuss challenges in the field, their careers, and the experiences that shaped their worldview. Those interviewed include pioneers who have shaped psychology as we know it today and who represent a wide range of specializations, from research to mental health practice, mainstream psychology to critical psychology and neuroscience to the Open Science movement. Elizabeth F. Loftus, StanfordUniversity, USA Jerome Kagan, Harvard University, USA Michael I. Posner, University of Oregon, USA Scott O. Lilienfeld, Emory University, USA Robert J. Sternberg, Cornell University, USA Robert Plomin, King's College London, UK Susan J. Blackmore, University of Plymouth, UK Joseph E. LeDoux, New York University, USA Noam Chomsky, Massachusetts Institute of Technology, USA Roy F. Baumeister, University of Queensland, Australia Erica Burman, University of Manchester, UK Brian A. Nosek, University of Virginia, USA Vikram H. Patel, Harvard Medical School, USA Daniel Kahneman, Princeton University, USA Carol A. Tavris, independent academic,USA,. 606 $aPsychology 606 $aSocial sciences$xHistory 606 $aPsychology$xMethodology 606 $aScience$xHistory 606 $aBehavioral Sciences and Psychology 606 $aHistory of Psychology 606 $aPsychological Methods 606 $aHistory of Science 615 0$aPsychology. 615 0$aSocial sciences$xHistory. 615 0$aPsychology$xMethodology. 615 0$aScience$xHistory. 615 14$aBehavioral Sciences and Psychology. 615 24$aHistory of Psychology. 615 24$aPsychological Methods. 615 24$aHistory of Science. 676 $a150.922 700 $aWitkowski$b Tomasz$01818808 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911001787703321 996 $aShaping Psychology$94378241 997 $aUNINA LEADER 05335nam 22007215 450 001 9911031662903321 005 20251001130449.0 010 $a3-031-84702-4 024 7 $a10.1007/978-3-031-84702-8 035 $a(CKB)41521030000041 035 $a(MiAaPQ)EBC32323734 035 $a(Au-PeEL)EBL32323734 035 $a(DE-He213)978-3-031-84702-8 035 $a(OCoLC)1547906670 035 $a(EXLCZ)9941521030000041 100 $a20251001d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical Models and Learning Methods for Complex Data /$fedited by Giuseppe Giordano, Michele La Rocca, Marcella Niglio, Marialuisa Restaino, Maurizio Vichi 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (312 pages) 225 1 $aStudies in Classification, Data Analysis, and Knowledge Organization,$x2198-3321 311 08$a3-031-84701-6 327 $a- Exploring latent evolving ability in test equating and its effects on final rankings -- Hidden Markov and related discrete latent variable models An application to compositional data -- An application of Natural Language Processing Analysis on TripAdvisor Reviews -- Modelling football players field position via mixture of Gaussians with flexible weights -- Estimation Issues in Multivariate Panel Data -- Testing linearity in the single functional index model for dependent data -- A multi-step approach for streamflow classification -- Identification of misogynistic accounts on Twitter through Graph Convolutional Networks -- Topic modeling of publication activity in Hungary and Poland in the fields of economics, finance, and business -- Circular kernel classification with errors-in-variables -- Classification Trees Applied to Time Lagged Data to Improve Quality in Official Statistics -- Trimmed factorial k-means a clustering application to a cookies dataset_Farné and Camillo -- Visualization of Proximity and Role-based Embeddings in a Regional Labour Flow Network -- Bridging the Gap Investigating Correlation Clustering and Manifold Learning Connections -- Improving Performance in Neural Networks by Dendrite-Activated Connection -- Regression models with compositional regressors in case of structural zeros -- Multi-Dimensional Robinson Dissimilarities -- Composite selection criteria for the number of components of a finite mixture for ordinal data -- Clustering of Italian higher education institutions based on a destination?specific approach -- Analyzing Italian crime data using matrix-variate hidden Markov models. 330 $aThis book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2023), held in Salerno, Italy, September 11?13, 2023. The contributions span a variety of topics, including different approaches to clustering and classification, multidimensional data analysis, panel data, social networks, time series, statistical inference, and mixture models. These methodologies are applied to a range of empirical domains such as economics, finance, hydrology, the social sciences, education, and sports. Organized biennially by international scientific committees, the CLADAG meetings advance methodological research in multivariate statistics, with a strong focus on data analysis and classification. They facilitate the exchange of ideas in these fields and promote the dissemination of concepts, numerical methods, algorithms, and computational and applied results. 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