01365nam a2200289 i 4500991000929659707536101103s2002 it 001 0 ita d8849803303b13933747-39ule_instFacoltà SSPTita352.36Italia.Dipartimento della funzione pubblica423419Proposte per il cambiamento nelle amministrazioni pubbliche / Dipartimento della funzione pubblica, Ufficio per l'innovazione delle pubbliche amministrazioni2. ed.Soveria Mannelli :Rubbettino,c2002113 p. ;24 cmAnalisi e strumenti per l'innovazione.Le proposteIl volume fa parte del programma Cantieri per il cambiamento nelle amministrazioni pubblicheAmministrazione pubblicaOrganizzazioneAmministrazione pubblicaRiforma.b1393374702-04-1403-11-10991000929659707536LE021 352.36 ITA01.0112020000029502le021gE7.25-n- 02020.i1519233703-11-10LE027 352.36 ITA01.0112027000321582le027gE10.00-l- 01110.i1547335115-01-13Proposte per il cambiamento nelle amministrazioni pubbliche250710UNISALENTOle02003-11-10ma -itait 0002424nam 2200529 a 450 991079132640332120161219111700.01-4833-4942-X1-4522-3619-41-4522-2338-6(CKB)2550000001197924(EBL)1598333(SSID)ssj0001111636(PQKBManifestationID)12444658(PQKBTitleCode)TC0001111636(PQKBWorkID)11156376(PQKB)11497194(MiAaPQ)EBC1598333(OCoLC)869282161(StDuBDS)EDZ0000174331(EXLCZ)99255000000119792420131121d2011 fy 0engur|||||||||||txtccrComputational modeling in cognition[electronic resource] principles and practice /Stephan Lewandowsky and Simon FarrellThousand Oaks, [Calif.] SAGEc20111 online resource (x, 359 p.) illDescription based upon print version of record.1-322-28341-9 1-4129-7076-8 Includes bibliographical references and index.Cover; Contents; Preface; Chapter 1 - Introduction; Chapter 2 - From Words to Models: Building a Toolkit; Chapter 3 - Basic Parameter Estimation Techniques; Chapter 4 - Maximum Likelihood Estimation; Chapter 5 - Parameter Uncertainty and Model Comparison; Chapter 6 - Not Everything That Fits Is Gold: Interpreting the Modeling; Chapter 7 - Drawing It All Together: Two Examples; Chapter 8 - Modeling in a Broader Context; References; Author Index; Subject Index; About the AuthorsThis title introduces the principles of using computational models in psychology and provides a clear idea about how model construction, parameter estimation and model selection are carried out in practice. The book is written at a level that permits readers with a background in cognition, but without any modelling expertise.CognitionMathematical modelsCognitionMathematical models.153.015118Lewandowsky Stephan1523339Farrell Simon1976-1523340StDuBDSStDuBDSBOOK9910791326403321Computational modeling in cognition3763502UNINA