LEADER 01660nam 2200397 450 001 9910719767303321 005 20230628074852.0 010 $a3-0365-7342-9 035 $a(CKB)4960000000467933 035 $a(NjHacI)994960000000467933 035 $a(EXLCZ)994960000000467933 100 $a20230628d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances in friction, lubrication, wear and oxidation in metals manufacturing /$fby Guanyu Deng, Hongtao Zhu, Anh Kiet Tieu, editors 210 1$aBasel :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2023. 215 $a1 online resource (172 pages) 311 $a3-0365-7343-7 330 $aThis reprint is a collection of the research papers published in the "Advances in Friction, Lubrication, Wear and Oxidation in Metals Manufacturing" Special Issue. It acts as an update on the state of the art concerning studies on friction, wear and oxidation properties of materials; the development and performance of novel lubricants; and advanced simulation strategies for friction contacts. 606 $aMining engineering$xMethodology 606 $aMining engineering 615 0$aMining engineering$xMethodology. 615 0$aMining engineering. 676 $a622 702 $aDeng$b Guanyu 702 $aZhu$b Hongtao 702 $aAnh$b Kiet Tieu 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910719767303321 996 $aAdvances in Friction, Lubrication, Wear and Oxidation in Metals Manufacturing$93361891 997 $aUNINA LEADER 03379nam 2200709 450 001 9910798222603321 005 20230125222240.0 010 $a1-63157-444-2 035 $a(CKB)3710000000655040 035 $a(EBC)4518807 035 $a(OCoLC)949862466 035 $a(CaBNVSL)swl00406484 035 $a(Au-PeEL)EBL4518807 035 $a(CaPaEBR)ebr11206360 035 $a(CaONFJC)MIL919738 035 $a(OCoLC)950465369 035 $a(CaSebORM)9781631574443 035 $a(MiAaPQ)EBC4518807 035 $a(EXLCZ)993710000000655040 100 $a20160512d2016 fy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aRegression for economics /$fShahdad Naghshpour 205 $aSecond edition. 210 1$aNew York, New York (222 East 46th Street, New York, NY 10017) :$cBusiness Expert Press,$d2016. 215 $a1 online resource (xix, 166 pages) 225 1 $aEconomics collection,$x2163-7628 311 $a1-63157-443-4 320 $aIncludes bibliographical references (page [161]) and index. 327 $a1. The concept of regression -- 2. The method of least squares -- 3. Simple linear regression using software packages -- 4. Multiple regression -- 5. Goodness of fit -- 6. Regression coefficients -- 7. Causality: correlation is not causality -- 8. Qualitative variables in regression -- 9. Pitfalls of regression analysis -- Appendix -- Glossary of terms -- Notes -- References -- Index. 330 3 $aThe concept of regression was introduced by Legendre in 1805 and advanced by Gauss in 1809. The term was popularized after Galton's 1886 article. Contribution of R. A. Fisher in the early 20th century was instrumental to the spread of the method to every scientific branch. Regression analysis, used in economics and many other fields, is now the most commonly used statistical method. Although few would characterize this technique as simple, regression is in fact both simple and elegant. The complexity that many attribute to regression analysis is often a reflection of their lack of familiarity with the language of mathematics. But regression analysis can be understood even without the mastery of sophisticated mathematical concepts. This book provides the foundation of regression analysis in a way that is easy to comprehend. All the examples are from economics and in almost all the examples real data are used to show the application of the method. 410 0$aEconomics collection.$x2163-7628 606 $aEconomics$xStatistical methods 606 $aRegression analysis 610 $aanalysis 610 $acausality 610 $aceteris paribus 610 $acoefficient of determination 610 $acontrol variables 610 $aerror 610 $agoodness of fit 610 $ainference 610 $amisspecification 610 $amodel 610 $aproxy variables 610 $aregression 610 $aspurious regression 610 $aStata 615 0$aEconomics$xStatistical methods. 615 0$aRegression analysis. 676 $a519.536 700 $aNaghshpour$b Shahdad.$0890738 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910798222603321 996 $aRegression for economics$93676506 997 $aUNINA