LEADER 01736nam 2200409 n 450 001 996389786003316 005 20221108051543.0 035 $a(CKB)4940000000098170 035 $a(EEBO)2264188674 035 $a(UnM)ocm9494007e 035 $a(UnM)9494007 035 $a(OCoLC)09494007 035 $a(EXLCZ)994940000000098170 100 $a19830509d1676 uy 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aKalendarium nauticum$b[electronic resource] $ethe sea-man's almanack, for the year of Christ 1676. Being bissextile or leap-year. Comprising not onely such things as are usually contained in other annual almanacks, but accommodated with such precepts, rules, and tables, as are of daily use in the practise of navigation and traffick. Principally referred to the meridian of London[;] With direction how it may become useful in any part of the world, and especially to the kingdoms of England, Scotland, and Ireland. /$fBy Henry Seaman, marriner 210 $aLondon, $cPrinted by T. N. for the Company of Stationers.$d1676 215 $a[40] p 300 $aImperfect: badly stained, with much loss of text. 300 $aReproduction of original in the British Library. 330 $aeebo-0018 606 $aAlmanacs, English$vEarly works to 1800 606 $aNautical almanacs$vEarly works to 1800 606 $aAstrology$vEarly works to 1800 615 0$aAlmanacs, English 615 0$aNautical almanacs 615 0$aAstrology 700 $aSeaman$b Henry$ffl. 1675.$01006257 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bCu-RivES 906 $aBOOK 912 $a996389786003316 996 $aKalendarium nauticum$92315309 997 $aUNISA LEADER 01743nas 2200517-a 450 001 9910142431103321 005 20240413013832.0 011 $a1726-9148 035 $a(CKB)1000000000318422 035 $a(CONSER)--2005244078 035 $a(DE-599)ZDB2744447-8 035 $a(EXLCZ)991000000000318422 100 $a20041207a20039999 --- - 101 0 $aeng 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aInternational journal of endocrinology and metabolism 210 $aTehran $cEndocrine Research Center$d[2003]- 210 31$a['s-Hertogenbosch, The Netherlands] :$cBriefland 215 $a1 online resource 300 $aTitle from cover. 311 08$aPrint version: International journal of endocrinology and metabolism. 1726-913X (DLC) 2005244078 (OCoLC)62416779 517 1 $aIJEM 517 3 $aEndocrinology and metabolism 531 $aINTERNATIONAL JOURNAL OF ENDOCRINOLOGY & METABOLISM 531 $aINT J ENDOCRINOL METAB 531 0 $aInt. j. endocrinol. metab. 606 $aEndocrinology$vPeriodicals 606 $aMetabolism$vPeriodicals 606 $aEndocrinology 606 $aEndocrinology$2fast$3(OCoLC)fst00909749 606 $aMetabolism$2fast$3(OCoLC)fst01017473 608 $aPeriodical. 608 $aPeriodicals.$2fast 615 0$aEndocrinology 615 0$aMetabolism 615 12$aEndocrinology. 615 7$aEndocrinology. 615 7$aMetabolism. 712 02$aPizh?hishkadah-yi ?Ul?m-i Ghudad-i Dar?n'r?z va Mit?b?lism. 906 $aJOURNAL 912 $a9910142431103321 920 $aexl_impl conversion 996 $aInternational journal of endocrinology and metabolism$92012438 997 $aUNINA LEADER 06341nam 2200925Ia 450 001 9910139552103321 005 20200520144314.0 010 $a9786613333124 010 $a9781119961383 010 $a1119961386 010 $a9781283333122 010 $a1283333120 010 $a9781119961154 010 $a1119961157 010 $a9781119961161 010 $a1119961165 035 $a(CKB)2550000000064929 035 $a(EBL)822594 035 $a(SSID)ssj0000555147 035 $a(PQKBManifestationID)11363456 035 $a(PQKBTitleCode)TC0000555147 035 $a(PQKBWorkID)10533515 035 $a(PQKB)10916845 035 $a(Au-PeEL)EBL822594 035 $a(CaPaEBR)ebr10510589 035 $a(CaONFJC)MIL333312 035 $a(CaSebORM)9780470971284 035 $a(MiAaPQ)EBC822594 035 $a(OCoLC)768230368 035 $a(OCoLC)806221418 035 $a(OCoLC)ocn806221418 035 $a(Perlego)1014629 035 $a(EXLCZ)992550000000064929 100 $a20110721d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aModern analysis of customer surveys $ewith applications using R /$fedited by Ron S. Kenett, Silvia Salini 205 $a1st edition 210 $aChichester $cJohn Wiley & Sons$d2011 215 $a1 online resource (526 p.) 225 1 $aStatistics in Practice 300 $aDescription based upon print version of record. 311 08$a9780470971284 311 08$a0470971282 320 $aIncludes bibliographical references and index. 327 $aModern Analysis ofCustomer Surveys; Contents; Foreword; Preface; Contributors; PART I BASIC ASPECTS OF CUSTOMER SATISFACTION SURVEY DATA ANALYSIS; 1 Standards and classical techniques in data analysis of customer satisfaction surveys; 1.1 Literature on customer satisfaction surveys; 1.2 Customer satisfaction surveys and the business cycle; 1.3 Standards used in the analysis of survey data; 1.4 Measures and models of customer satisfaction; 1.4.1 The conceptual construct; 1.4.2 The measurement process; 1.5 Organization of the book; 1.6 Summary; References 327 $a2 The ABC annual customer satisfaction survey2.1 The ABC company; 2.2 ABC 2010 ACSS: Demographics of respondents; 2.3 ABC 2010 ACSS: Overall satisfaction; 2.4 ABC 2010 ACSS: Analysis of topics; 2.5 ABC 2010 ACSS: Strengths and weaknesses and decision drivers; 2.6 Summary; References; Appendix; 3 Census and sample surveys; 3.1 Introduction; 3.2 Types of surveys; 3.2.1 Census and sample surveys; 3.2.2 Sampling design; 3.2.3 Managing a survey; 3.2.4 Frequency of surveys; 3.3 Non-sampling errors; 3.3.1 Measurement error; 3.3.2 Coverage error; 3.3.3 Unit non-response and non-self-selection errors 327 $a3.3.4 Item non-response and non-self-selection error3.4 Data collection methods; 3.5 Methods to correct non-sampling errors; 3.5.1 Methods to correct unit non-response errors; 3.5.2 Methods to correct item non-response; 3.6 Summary; References; 4 Measurement scales; 4.1 Scale construction; 4.1.1 Nominal scale; 4.1.2 Ordinal scale; 4.1.3 Interval scale; 4.1.4 Ratio scale; 4.2 Scale transformations; 4.2.1 Scale transformations referred to single items; 4.2.2 Scale transformations to obtain scores on a unique interval scale; Acknowledgements; References; 5 Integrated analysis; 5.1 Introduction 327 $a5.2 Information sources and related problems5.2.1 Types of data sources; 5.2.2 Advantages of using secondary source data; 5.2.3 Problems with secondary source data; 5.2.4 Internal sources of secondary information; 5.3 Root cause analysis; 5.3.1 General concepts; 5.3.2 Methods and tools in RCA; 5.3.3 Root cause analysis and customer satisfaction; 5.4 Summary; Acknowledgement; References; 6 Web surveys; 6.1 Introduction; 6.2 Main types of web surveys; 6.3 Economic benefits of web survey research; 6.3.1 Fixed and variable costs; 6.4 Non-economic benefits of web survey research 327 $a6.5 Main drawbacks of web survey research6.6 Web surveys for customer and employee satisfaction projects; 6.7 Summary; References; 7 The concept and assessment of customer satisfaction; 7.1 Introduction; 7.2 The quality-satisfaction-loyalty chain; 7.2.1 Rationale; 7.2.2 Definitions of customer satisfaction; 7.2.3 From general conceptions to a measurement model of customer satisfaction; 7.2.4 Going beyond SERVQUAL: Other dimensions of relevance to the B2B context; 7.2.5 From customer satisfaction to customer loyalty; 7.3 Customer satisfaction assessment: Some methodological considerations 327 $a7.3.1 Rationale 330 $aCustomer survey studies deals with customers, consumers and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods. Typical reports include descriptive statistics and basic graphical displays. As demonstrated in this book, integrating such basic analysis with more advanced tools, provides insights on non-obvious patterns and important relationships between the survey variables. This knowledge can significantly affect the conclusions derived from a su 410 0$aStatistics in Practice 606 $aConsumer satisfaction$xResearch$xStatistical methods 606 $aConsumer satisfaction$xEvaluation 606 $aConsumers$xResearch$xStatistical methods 606 $aConsumers$xResearch$xData processing 606 $aSampling (Statistics)$xEvaluation 606 $aSurveys$xStatistical methods 606 $aSurveys$xData processing 615 0$aConsumer satisfaction$xResearch$xStatistical methods. 615 0$aConsumer satisfaction$xEvaluation. 615 0$aConsumers$xResearch$xStatistical methods. 615 0$aConsumers$xResearch$xData processing. 615 0$aSampling (Statistics)$xEvaluation. 615 0$aSurveys$xStatistical methods. 615 0$aSurveys$xData processing. 676 $a658.8/3402855282 701 $aKenett$b Ron$0874200 701 $aSalini$b Silvia$0961344 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139552103321 996 $aModern analysis of customer surveys$92179565 997 $aUNINA