LEADER 01322nam0-2200397---450- 001 990000795480203316 005 20100113143059.0 010 $a88-348-7056-5 035 $a0079548 035 $aUSA010079548 035 $a(ALEPH)000079548USA01 035 $a0079548 100 $a20011210d1997----y0itay01 ba 101 $aita 102 $aIT 105 $a00||| 200 1 $a<> servizi idrici$edistribuzione, raccolta e depurazione delle acque$fMaurizio Lovisetti 210 $aTorino$cG. Giappichelli$d[1997] 215 $aXIV, 415 p.$d24 cm 225 2 $aAmbiente, beni culturali, urbanistica$v3. 300 $aIn appendice: Provvedimenti normativi, circolari e risoluzioni ministeriali 410 0$12001$aAmbiente, beni culturali, urbanistica$v3. 606 $aServizi idrici$xLegislazione 676 $a343.450924 700 1$aLOVISETTI,$bMaurizio$0427243 801 0$aIT$bBNI$c19980622$gRICA 912 $a990000795480203316 951 $aXXIV.3. Coll. 20/ 3 (COLL. PUC 3)$b15550 G$cXXIV.3. Coll. 20/ 3 (COLL. PUC)$d00270110 959 $aBK 969 $aGIU 979 $aPATTY$b90$c20011210$lUSA01$h0959 979 $c20020403$lUSA01$h1726 979 $aPATRY$b90$c20040406$lUSA01$h1655 979 $aRSIAV4$b90$c20100113$lUSA01$h1430 996 $aServizi idrici$9966173 997 $aUNISA LEADER 04264nam 2200649 450 001 9910798933503321 005 20230125222146.0 010 $a1-60649-871-1 035 $a(CKB)3710000000952114 035 $a(BEP)4742536 035 $a(OCoLC)966473592 035 $a(CaBNVSL)swl00406960 035 $a(Au-PeEL)EBL4742536 035 $a(CaPaEBR)ebr11298172 035 $a(CaONFJC)MIL970335 035 $a(OCoLC)963785275 035 $a(CaSebORM)9781606498712 035 $a(MiAaPQ)EBC4742536 035 $a(EXLCZ)993710000000952114 100 $a20161217d2017 fy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aForecasting fundamentals /$fNada R. Sanders 205 $aFirst edition. 210 1$aNew York, New York (222 East 46th Street, New York, NY 10017) :$cBusiness Expert Press,$d2017. 215 $a1 online resource (126 pages) 225 1 $aSupply and operations management collection,$x2156-8200 311 $a1-60649-870-3 320 $aIncludes bibliographical references (page 121) and index. 327 $aSection I. Forecasting basics -- 1. Forecasting in business -- 2. The forecasting process -- Section II. Measuring forecast accuracy -- 3. Forecast accuracy measures -- Section III. Basics of forecasting methods -- 4. Categories of forecasting methods -- 5. Judgmental forecasting models -- 6. Statistical forecasting models -- Section IV. Forecasting in the business environment -- 7. Technology in forecasting -- 8. Managing the forecasting process -- Notes -- References -- Index. 330 3 $aThis book is for everyone who wants to make better forecasts. This book is not about mathematics and statistics. It is about following a well-established forecasting process to create and implement good forecasts. This is true whether you are forecasting global markets, product demand, competitive strategy, or market disruptions. Today, most forecasts are generated using software. However, no amount of technology and statistics can compensate for a poor forecasting process. Forecasting is not just about generating a number. Forecasters need to understand the problems they are trying to solve. They also need to follow a process that is justifiable to other parties and be implemented in practice. This is what this book is about. Business leaders know that accurate forecasting is a critical organizational capability. Forecasting is predicting the future, and the list of what needs to be predicted to run a world-class organization is endless. Forecasting goes well beyond simply predicting demand or sales. Accurate forecasts are essential for identifying new market opportunities, forecasting risks, events, supply chain disruptions, innovation, competition, market growth, and trends. It also includes the ability to conduct "what-if " analysis to understand the tradeoff implications of decisions. Companies can navigate this daunting landscape and improve their forecasts by following some well-established principles and bearing in mind certain caveats to conventional wisdom. This book is written to provide the fundamentals business leaders need in order to make good forecasts. These fundamentals hold true regardless of what is being forecast and what technology is being used. This book provides the basic foundational principles all companies need to achieve competitive forecast accuracy. 410 0$aSupply and operations management collection.$x2156-8200 606 $aBusiness forecasting 610 $acausal methods 610 $acollaborative forecasting 610 $aforecasting 610 $aforecast accuracy measures 610 $aforecasting analysis 610 $aforecasting in business 610 $aforecasting methods 610 $aforecasting process 610 $aforecasting technology 610 $ajudgmental forecasting 610 $atime-series forecasting 615 0$aBusiness forecasting. 676 $a658.40355 700 $aSanders$b Nada R.$01516623 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910798933503321 996 $aForecasting fundamentals$93753206 997 $aUNINA LEADER 04351nam 2201117z- 450 001 9910557307703321 005 20210501 035 $a(CKB)5400000000042779 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69113 035 $a(oapen)doab69113 035 $a(EXLCZ)995400000000042779 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aThe Alveolar Epithelium$eMechanisms of Injury and Repair 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (222 p.) 311 08$a3-03943-166-8 311 08$a3-03943-167-6 330 $aAlveolar epithelial cells (AECs) of the lung are important contributors to pulmonary immune functions and to pulmonary development and alveolar repair mechanisms following lung injury. 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