LEADER 05370nam 2200661Ia 450 001 9910830940503321 005 20230207230453.0 010 $a1-282-18889-5 010 $a9786612188893 010 $a0-470-74691-2 010 $a0-470-74692-0 035 $a(CKB)1000000000794253 035 $a(EBL)454378 035 $a(OCoLC)609843881 035 $a(SSID)ssj0000354380 035 $a(PQKBManifestationID)11251813 035 $a(PQKBTitleCode)TC0000354380 035 $a(PQKBWorkID)10302637 035 $a(PQKB)10117377 035 $a(MiAaPQ)EBC454378 035 $a(EXLCZ)991000000000794253 100 $a20090306d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 13$aAn introduction to optimal designs for social and biomedical research$b[electronic resource] /$fMartijn P.F. Berger, Weng Kee Wong 210 $aHoboken, NJ $cWiley$d2009 215 $a1 online resource (348 p.) 225 1 $aStatistics in Practice ;$vv.83 300 $aDescription based upon print version of record. 311 $a0-470-69450-5 320 $aIncludes bibliographical references and index. 327 $aAn Introduction to Optimal Designs for Social and Biomedical Research; Contents; Preface; Acknowledgements; 1 Introduction to designs; 1.1 Introduction; 1.2 Stages of the research process; 1.2.1 Choice of a 'good' design; 1.3 Research design; 1.3.1 Choice of independent variables and levels; 1.3.2 Units of analysis; 1.3.3 Variables; 1.3.4 Replication; 1.4 Types of research designs; 1.5 Requirements for a 'good' design; 1.5.1 Statistical conclusion validity; 1.5.2 Internal validity; 1.5.3 Control of (unwanted) variation; 1.6 Ethical aspects of design choice 327 $a1.7 Exact versus approximate designs1.8 Examples; 1.8.1 Radiation dosage example; 1.8.2 Designs for the Poggendorff and Ponzo illusion experiments; 1.8.3 Uncertainty about best .tting regression models; 1.8.4 Designs for a priori contrasts among composite faces; 1.8.5 Designs for calibration of item parameters in item response theory models; 1.9 Summary; 2 Designs for simple linear regression; 2.1 Design problem for a linear model; 2.1.1 The design; 2.1.2 The linear regression model; 2.1.3 Estimation of parameters and efficiency; 2.2 Designs for radiation-dosage example 327 $a2.3 Relative efficiency and sample size2.4 Simultaneous inference; 2.5 Optimality criteria; 2.5.1 D-optimality criterion; 2.5.2 A-optimality criterion; 2.5.3 G-optimality criterion; 2.5.4 E-optimality criterion; 2.5.5 Number of distinct design points; 2.6 Relative efficiency; 2.7 Matrix formulation of designs for linear regression; 2.8 Summary; 3 Designs for multiple linear regression analysis; 3.1 Design problem for multiple linear regression; 3.1.1 The design; 3.1.2 The multiple linear regression model; 3.1.3 Estimation of parameters and ef.ciency; 3.2 Designs for vocabulary-growth study 327 $a3.3 Relative efficiency and sample size3.4 Simultaneous inference; 3.5 Optimality criteria for a subset of parameters; 3.6 Relative efficiency; 3.7 Designs for polynomial regression model; 3.7.1 Exact D-optimal designs for a quadratic regression model; 3.7.2 Scale dependency of A- and E-optimality criteria; 3.8 The Poggendorff and Ponzo illusion study; 3.9 Uncertainty about best .tting regression models; 3.10 Matrix notation of designs for multiple regression models; 3.10.1 Design for regression models with two independent variables 327 $a3.10.2 Design for regression models with two non-additive independent variables3.11 Summary; 4 Designs for analysis of variance models; 4.1 A typical design problem for an analysis of variance model; 4.1.1 The design; 4.1.2 The analysis of variance model; 4.1.3 Formulation of an ANOVA model as a regression model; 4.2 Estimation of parameters and efficiency; 4.2.1 Measures of uncertainty; 4.3 Simultaneous inference and optimality criteria; 4.4 Designs for groups under stress study; 4.4.1 A priori planned unequal sample sizes; 4.4.2 Not planned unequal sample sizes 327 $a4.5 Specific hypotheses and contrasts 330 $aThe increasing cost of research means that scientists are in more urgent need of optimal design theory to increase the efficiency of parameter estimators and the statistical power of their tests. The objectives of a good design are to provide interpretable and accurate inference at minimal costs. Optimal design theory can help to identify a design with maximum power and maximum information for a statistical model and, at the same time, enable researchers to check on the model assumptions. This Book:Introduces optimal experimental design in an accessible format.Pro 410 0$aStatistics in Practice 606 $aSocial sciences$xResearch 606 $aBiology$xResearch 606 $aOptimal designs (Statistics) 615 0$aSocial sciences$xResearch. 615 0$aBiology$xResearch. 615 0$aOptimal designs (Statistics) 676 $a300.72 700 $aBerger$b Martijn P. F$01709287 701 $aWong$b Weng Kee$01659695 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830940503321 996 $aAn introduction to optimal designs for social and biomedical research$94098929 997 $aUNINA LEADER 04487nam 22006975 450 001 9911016073303321 005 20260116192809.0 010 $a981-9666-69-4 024 7 $a10.1007/978-981-96-6669-0 035 $a(CKB)39698153700041 035 $a(MiAaPQ)EBC32227302 035 $a(Au-PeEL)EBL32227302 035 $a(DE-He213)978-981-96-6669-0 035 $a(EXLCZ)9939698153700041 100 $a20250722d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCognitive and Neural Foundations of Chinese Reading $eFrom Learning to Advanced Processing and Beyond /$fedited by Denise Hsien Wu 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (297 pages) 225 1 $aChinese Language Learning Sciences,$x2520-1727 311 08$a981-9666-68-6 327 $aExploring Chinese reading development: Framework, instructional systems, and cognitive factors -- Neural signatures for the statistical learning of Chinese language processing -- A visual account of acquisition of Chinese reading by the Deaf in Taiwan -- Shared book reading, predictive brain signal and language in infants -- Evidence of eye movements for the role of contextual predictability in Chinese word recognition during the reading of sentences -- The foreign language effect beyond language -- Reciprocal relationship between statistical learning and language processing -- Sophisticated neuroimaging methods to study the brain circuit for language comprehension -- Using naturalistic brain imaging to investigate fictional narrative comprehension -- Empower second language learning by technology: From the perspective of cognitive neuroscience -- Language comprehension, Chinese reading, and the aging brain -- ERP evidence for the modulation of semantic transparency on the recollection of two-character Chinese words -- On the applications of information theoretic approaches to study language and motor control -- Human judgment biases: From behavior to neural implementations. 330 $aThis book provides a comprehensive and concise introduction of experiments on contemporary issues of language processing and the brain. It covers a wide range of neurolinguistic and neuroscience topics, including but not limited to word recognition, reading acquisition and dyslexia (in typically developed children, foreign language learners, and deaf people), comprehension of sentences and fictional narratives, the interplay of language processing/acquisition with other cognitive domains, and aging of language comprehension and Chinese reading. This book showcases the significance of empirical studies on language and cognitive processing, particularly those emerging from the Taiwan research community, to illuminate the intricate nature of the language faculty enabled by the sophisticated computations of the brain. This book informs readers of crucial issues in the neurolinguistic literature and advances in neuroimaging technology and provides perspectives inspired by evolution and neuroscience. 410 0$aChinese Language Learning Sciences,$x2520-1727 606 $aLanguage and languages$xStudy and teaching 606 $aPsycholinguistics 606 $aCognitive neuroscience 606 $aLanguage Teaching and Learning 606 $aPsycholinguistics and Cognitive Lingusitics 606 $aCognitive Neuroscience 606 $aNeurolingüística$2thub 606 $aDislèxia$2thub 606 $aPsicologia cognitiva$2thub 606 $aProcessament de la parla$2thub 606 $aXinès$2thub 608 $aLlibres electrònics$2thub 615 0$aLanguage and languages$xStudy and teaching. 615 0$aPsycholinguistics. 615 0$aCognitive neuroscience. 615 14$aLanguage Teaching and Learning. 615 24$aPsycholinguistics and Cognitive Lingusitics. 615 24$aCognitive Neuroscience. 615 7$aNeurolingüística 615 7$aDislèxia 615 7$aPsicologia cognitiva 615 7$aProcessament de la parla 615 7$aXinès 676 $a418.0071 700 $aWu$b Denise Hsien$01834701 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911016073303321 996 $aCognitive and Neural Foundations of Chinese Reading$94410339 997 $aUNINA