LEADER 03383nam 22005895 450 001 9910438150603321 005 20200703122059.0 010 $a1-283-93420-5 010 $a1-4614-5562-6 024 7 $a10.1007/978-1-4614-5562-2 035 $a(CKB)2670000000316167 035 $a(EBL)1081949 035 $a(OCoLC)823729041 035 $a(SSID)ssj0000830670 035 $a(PQKBManifestationID)11511950 035 $a(PQKBTitleCode)TC0000830670 035 $a(PQKBWorkID)10820228 035 $a(PQKB)10232520 035 $a(DE-He213)978-1-4614-5562-2 035 $a(MiAaPQ)EBC1081949 035 $a(PPN)168303388 035 $a(EXLCZ)992670000000316167 100 $a20121212d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDihedral Fourier Analysis$b[electronic resource] $eData-analytic Aspects and Applications /$fby Marlos A. G. Viana, Vasudevan Lakshminarayanan 205 $a1st ed. 2013. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2013. 215 $a1 online resource (131 p.) 225 1 $aLecture Notes in Statistics,$x0930-0325 300 $aDescription based upon print version of record. 311 $a1-4614-5561-8 320 $aIncludes bibliographical references and index. 327 $aSymmetry and Experimental Data -- Algebraic and Data-Analytic Aspects -- Curvature and Refraction Data -- Symbolic Sequences -- Symmetry Preference and Perception -- Other Applications -- Glossary -- Index. 330 $aDihedral Fourier Analysis introduces the theory and applications necessary to study experimental data indexed by, or associated with, the points in a dihedral symmetry orbit. This book looks at experimental data and analytical models indexed by certain dihedral rotations and reversals realized as vector fields. Its particular relevance as a research tool in areas such as optical and molecular biology statistics appears when formulated within the context of symmetry studies, which formally connects algebraic and statistical reasoning together in one methodology for data summary and inference. Chapter 1 presents an overview of the theory and methods of dihedral analysis. It introduces data sets and examples defining and connecting the algebraic notions of symmetry with those of statistical summaries and inference. Chapter 2 includes the required algebraic aspects and data-analytic results. Chapters 3-6 offer applications of the methods presented in the text. This book is intended for data analysts of both theoretical and applied statistics. 410 0$aLecture Notes in Statistics,$x0930-0325 606 $aStatistics  606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 606 $aStatistics, general$3https://scigraph.springernature.com/ontologies/product-market-codes/S0000X 615 0$aStatistics . 615 14$aStatistical Theory and Methods. 615 24$aStatistics, general. 676 $a515.2433 700 $aViana$b Marlos A. G$4aut$4http://id.loc.gov/vocabulary/relators/aut$01060988 702 $aLakshminarayanan$b Vasudevan$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910438150603321 996 $aDihedral Fourier Analysis$92516810 997 $aUNINA