LEADER 01602nam 2200385 n 450 001 996390257203316 005 20200824120918.0 035 $a(CKB)4940000000101954 035 $a(EEBO)2248585738 035 $a(UnM)99840332e 035 $a(UnM)99840332 035 $a(EXLCZ)994940000000101954 100 $a19910211d1608 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aDisme: the art of tenths, or decimall arithmetike$b[electronic resource] $eteaching how to perform all computations whatsoeuer, by whole numbers without fractions, by the foure principles of common arithmeticke: namely addition, subtraction, multiplication, and diuision. Inuented by the excellent mathematician, Simon Steuin. Published in English with wholesome additions by Robert Norton, Gent 210 $aImprinted at London $cBy S. S[tafford] for Hugh Astley, and are to be sold at his shop at Saint Magnus corner$d1608 215 $a[38] p 300 $aA translation, by Robert Norton, of: Stevin, Simon. Thiende. 300 $aPrinter's name from STC. 300 $aSignatures: A-D? Eł. 300 $aReproduction of the original in the Bodleian Library. 330 $aeebo-0014 606 $aArithmetic$vEarly works to 1900 615 0$aArithmetic 700 $aStevin$b Simon$f1548-1620.$038888 701 $aNorton$b Robert$fd. 1635.$01001650 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996390257203316 996 $aDisme: the art of tenths, or decimall arithmetike$92304115 997 $aUNISA LEADER 01219nas 2200433- 450 001 9910284447203321 005 20210111030227.4 011 $a1758-1931 024 8 $assj0000697052 035 $a(DE-599)ZDB2669704-X 035 $a(OCoLC)849810334 035 $a(CKB)3150000000001034 035 $a(CONSER)--2015247753 035 $a(EXLCZ)993150000000001034 100 $a20080628a20129999 --- - 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBreast cancer management 210 1$aLondon :$cFuture Medicine,$d[2012]- 215 $a1 online resource 300 $aRefereed/Peer-reviewed 311 $a1758-1923 531 0 $aBreast cancer manag. 606 $aBreast$xCancer$vPeriodicals 606 $aBreast Neoplasms$xtherapy 606 $aBreast$xCancer$2fast$3(OCoLC)fst00838260 608 $aPeriodical. 608 $aPeriodicals.$2fast 615 0$aBreast$xCancer 615 12$aBreast Neoplasms$xtherapy. 615 7$aBreast$xCancer. 676 $a616.9944905 906 $aJOURNAL 912 $a9910284447203321 996 $aBreast cancer management$92311895 997 $aUNINA LEADER 01102nas 2200361- 450 001 996209967703316 005 20240113213019.0 011 $a2334-3257 035 $a(OCoLC)789278359 035 $a(CKB)2670000000416665 035 $a(CONSER)--2012250500 035 $a(EXLCZ)992670000000416665 100 $a20120425b19061923 --- a 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBulletin of Friends' Historical Society of Philadelphia 210 $aPhiladelphia $cLeeds & Biddle Co.$d1906-1923 311 $a2330-8079 606 $aSociety of Friends$xHistory$vPeriodicals 606 $aSociety of Friends$2fast$3(OCoLC)fst01123801 608 $aCzasopismo historyczne.$2dbn 608 $aHistory.$2fast 608 $aPeriodicals.$2fast 615 0$aSociety of Friends$xHistory 615 7$aSociety of Friends. 676 $a289.6 906 $aJOURNAL 912 $a996209967703316 996 $aBulletin of Friends' Historical Society of Philadelphia$92004836 997 $aUNISA LEADER 06029nam 22006015 450 001 9910254090203321 005 20200705004106.0 010 $a3-319-38867-3 024 7 $a10.1007/978-3-319-38867-0 035 $a(CKB)3710000001006476 035 $a(DE-He213)978-3-319-38867-0 035 $a(MiAaPQ)EBC6315115 035 $a(MiAaPQ)EBC5576615 035 $a(Au-PeEL)EBL5576615 035 $a(OCoLC)965146315 035 $a(PPN)197139981 035 $a(EXLCZ)993710000001006476 100 $a20161126d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEssentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses /$fby Cheng-Few Lee, John Lee, Jow-Ran Chang, Tzu Tai 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XX, 1041 p. 906 illus., 781 illus. in color.) 300 $aIncludes index. 311 $a3-319-38865-7 327 $a1 Introduction -- 2 Data Collection and Presentation -- 3 Histograms and the Rate of Returns of Johnson & Johnson -- 4 Numerical Summary Measures on Rate of Returns of Amazon, Walmart and the S&P 500 -- 5 Probability Concepts and Their Analysis -- 6 Discrete Random Variables and Probability Distributions -- 7 The Normal and Lognormal Distributions -- 8 Sampling Distributions and Central Limit Theorem -- 9 Other Continuous Distributions -- 10 Estimation -- 11 Hypothesis Testing -- 12 Analysis Of Variance and Chi-Square Tests -- 13 Simple Linear Regression and The Correlation Coefficient -- 14 Simple Linear Regression and Correlation: Analyses and Applications -- 15 Multiple Linear Regression -- 16 Residual and Regression Assumption Analysis -- 17 Nonparametric Statistics -- 18 Time-Series: Analysis, Model, and Forecasting -- 19 Index Numbers and Stock Market Indexes -- 20 Sampling Surveys: Methods and Applications -- 21 Statistical Decision Theory: Methods and Applications -- 22 Introduction to EXCEL Programming -- 23 Introduction to VBA Programming -- 24 Professional Techniques Used in EXCEL and EXCEL VBA Techniques. - 25 Binomial Option Pricing Model Decision Tree Approach -- 26 using Microsoft Excel to Estimate Alternative Option Pricing Models -- 27 Alternative Methods to Estimate Implied Variance -- 28 Greek Letters and Portfolio Insurance -- 29 Portfolio Analysis and Option Strategies -- 30 Simulation and its Application -- 31 Application of Simultaneous Equation in Finance Research: Methods and Empirical Results -- 32 Hedge Ratios: Theory and Applications. 330 $aThis introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, MINITAB, and SAS. Every chapter in this textbook engages the reader with data of individual stock, stock indices, options, and futures. One studies and uses statistics to learn how to study, analyze, and understand a data set of particular interest. Some of the more popular statistical programs that have been developed to use statistical and computational methods to analyze data sets are SAS, SPSS, and MINITAB. Of those, we look at MINITAB and SAS in this textbook. One of the main reasons to use MINITAB is that it is the easiest to use among the popular statistical programs. We look at SAS because it is the leading statistical package used in industry. We also utilize the much less costly and ubiquitous Microsoft Excel to do statistical analysis, as the benefits of Excel have become widely recognized in the academic world and its analytical capabilities extend to about 90 percent of statistical analysis done in the business world. We demonstrate much of our statistical analysis using Excel and double check the analysis and outcomes using MINITAB and SAS ? also helpful in some analytical methods not possible or practical to do in Excel. Excel 2013, MINITAB17, and SAS are integrated into the study and use of statistical analysis Programming ? includes advanced applications of Excel (VBA ? Visual Basic for Application) All Excel macros published for users to study Pedagogy from a business perspective ? implementation of statistical concepts via case-study approach Each chapter uses data from individual stocks, stock indices, options, and futures A practical case-study based textbook for courses in business statistics, investment analysis, options, and futures An in-depth reference for statistical analysis using multiple software packages for financial industry professionals. 606 $aStatistics 606 $aMacroeconomics 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aMacroeconomics/Monetary Economics//Financial Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W32000 615 0$aStatistics. 615 0$aMacroeconomics. 615 14$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aStatistics and Computing/Statistics Programs. 615 24$aMacroeconomics/Monetary Economics//Financial Economics. 676 $a519.50285 700 $aLee$b Cheng-Few$4aut$4http://id.loc.gov/vocabulary/relators/aut$0114212 702 $aLee$b John$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChang$b Jow-Ran$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aTai$b Tzu$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254090203321 996 $aEssentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses$92004338 997 $aUNINA