LEADER 00888nam a2200265 i 4500 001 991003168539707536 005 20021205143456.0 008 020513s1999 it ||| | ita 020 $a8815070532 035 $ab11764533-39ule_inst 035 $aPARLA220888$9ExL 040 $aDip.to Scienze Pedagogiche$bita 082 0 $a185 100 1 $aAckrill, John L.$0161325 245 10$aAristotele /$cJohn Ackrill 260 $aBologna :$bIl Mulino,$c1999 300 $a248 p. ;$c21 cm. 490 0 $aUniversale paperbacks Il mulino ;$v277 650 4$aAristotele 907 $a.b11764533$b27-04-17$c09-12-02 912 $a991003168539707536 945 $aLE022 185 ARI01.ACK01.01$g1$i2022000020855$lle022$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i12010212$z09-12-02 996 $aAristotle the philosopher$925062 997 $aUNISALENTO 998 $ale022$b01-01-02$cm$da $e-$fita$git $h0$i1 LEADER 01622oam 2200373 450 001 9910716725803321 005 20210830100104.0 035 $a(CKB)5470000002524920 035 $a(OCoLC)899962206 035 $a(EXLCZ)995470000002524920 100 $a20150111d1973 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSpecial prosecutor and Watergate grand jury legislation $ehearings before the Subcommittee on Criminal Justice of the Committee on the Judiciary, House of Representatives, Ninety-third Congress, first session on H.J. Res. 784, a joint resolution to provide for the appointment of a special prosecutor, and for other purposes : and related measures and H.R. 10937, a bill to extend the life of the June 5, 1972, grand jury of the U.S. District Court for the District of Columbia, October 29, 31 ; November 1, 5, 7, and 8, 1973 210 1$aWashington :$cU.S. Government Printing Office,$d1973. 215 $a1 online resource (iv, 496 pages) 300 $a"Serial No. 18." 517 $aSpecial prosecutor and Watergate grand jury legislation 606 $aWatergate Affair, 1972-1974 606 $aSpecial prosecutors$zUnited States 608 $aLegislative hearings.$2lcgft 615 0$aWatergate Affair, 1972-1974. 615 0$aSpecial prosecutors 801 0$bOCLCE 801 1$bOCLCE 801 2$bOCLCQ 801 2$bGPO 906 $aBOOK 912 $a9910716725803321 996 $aSpecial prosecutor and Watergate grand jury legislation$93469401 997 $aUNINA LEADER 03667oam 2200457 450 001 9910437929803321 005 20190911112726.0 010 $a3-642-40757-9 024 7 $a10.1007/978-3-642-40757-4 035 $a(OCoLC)874932647 035 $a(MiFhGG)GVRL6VRI 035 $a(EXLCZ)993710000000031280 100 $a20131029d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aElectricity economics $eproduction functions with electricity /$fZhaoguang Hu, Zheng Hu 205 $a1st ed. 2013. 210 1$aNew York :$cSpringer,$d2013. 215 $a1 online resource (xv, 441 pages) $cillustrations (some color) 225 0 $aGale eBooks 300 $aDescription based upon print version of record. 311 $a3-642-40756-0 320 $aIncludes bibliographical references. 327 $aIntroduction -- Production Functions with Electricity: The Enterprise Level -- Production Functions with Electricity: The Sectoral Level -- The Supply and Demand Models Based on Electricity Consumption -- Production Functions with Electricity: The Industrial Level -- E-GDP Functions for a National Economy -- The Characteristics of Gene in an Economy -- Energy Intensity and Electrification -- Features of Electricity Consumption During the Economic Development Stages -- Up-industrialization -- E-GDP Functions for the World and Particular Countries -- Macroeconomic and Policy Models -- Updates of the Input-output Table and the Electricity Input-output Table -- Impact Factors of Industrial Electricity Demand -- Models of Electricity with Capital and Labor. 330 $aElectricity Economics: Production Functions with Electricity studies the production output from analyzing patterns of electricity consumption. Since electricity data can be used to measure scenarios of economic performance due to its accuracy and reliability, it could therefore also be used to help scholars explore new research frontiers that directly and indirectly benefits human society. Our research initially explores a similar pattern to substitute the Cobb?Douglas function with the production function with electricity to track and forecast economic activities. The book systematically introduces the theoretical frameworks and mathematical models of economics from the perspective of electricity consumption. The E-GDP functions are presented for case studies of more than 20 developed and developing countries. These functions also demonstrate substantial similarities between human DNA and production functions with electricity in terms of four major characteristics, namely replication, mutation, uniqueness, and evolution. Furthermore, the book includes extensive data and case studies on the U.S., China, Japan, etc. It is intended for scientists, engineers, financial professionals, policy makers, consultants, and anyone else with a desire to study electricity economics as well as related applications. Dr. Zhaoguang Hu is the vice president and chief energy specialist at the State Grid Energy Research Institute, China. Zheng Hu is a PhD candidate at the Center for Energy and Environmental Policy, University of Delaware, USA. 606 $aElectric utilities 606 $aElectric power consumption 615 0$aElectric utilities. 615 0$aElectric power consumption. 676 $a333.79 700 $aHu$b Zhaoguang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0883069 702 $aHu$b Zheng 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910437929803321 996 $aElectricity economics$93871073 997 $aUNINA LEADER 05726nam 2200769Ia 450 001 9910827877803321 005 20200520144314.0 010 $a9786611450229 010 $a9781281450227 010 $a1281450227 010 $a9780470385012 010 $a0470385014 010 $a9780470384794 010 $a0470384794 035 $a(CKB)1000000000687197 035 $a(EBL)353501 035 $a(OCoLC)437219628 035 $a(SSID)ssj0000354089 035 $a(PQKBManifestationID)11249014 035 $a(PQKBTitleCode)TC0000354089 035 $a(PQKBWorkID)10314030 035 $a(PQKB)11444553 035 $a(MiAaPQ)EBC353501 035 $a(Au-PeEL)EBL353501 035 $a(CaPaEBR)ebr10296396 035 $a(CaONFJC)MIL145022 035 $a(OCoLC)28129843 035 $a(FINmELB)ELB178508 035 $a(Perlego)2757345 035 $a(EXLCZ)991000000000687197 100 $a19930524d1993 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDesign and analysis of sensory optimization /$fMaximo C. Gacula, Jr 205 $a1st ed. 210 $aTrumbull, Conn., USA $cFood & Nutrition Press$dc1993 215 $a1 online resource (316 p.) 225 1 $aPublications in food science and nutrition 300 $aDescription based upon print version of record. 311 08$a9780917678318 311 08$a0917678311 320 $aIncludes bibliographical references (p. 291-298) and index. 327 $aDESIGN AND ANALYSIS OF SENSORY OPTIMIZATION; PREFACE; CONTENTS; 1. INTRODUCTION; 1.1 Statistical Inference; 1.2 Experimental Design; 1.3 Sample Size; 1.4 Randomization; 1.5 Analysis of Variance; 1.6 Multiple Comparison Tests; Duncan's Multiple Range Test; Rank Sum Multiple Comparison Test; 1.7 Some Useful Tools for Data Analysis; Deviation from the Mean; Rejection of Outlying Observations; Test Procedures; 2. DESIGNS FOR COMPARING TWO POPULATIONS; 2.1 Paired Comparison Design; 2.2 Group Comparison Design; 3. COMPLETELY RANDOM AND RANDOMIZED COMPLETE BLOCK DESIGN 327 $a3.1 Completely Randomized Design3.2 Randomized Complete Block Design; 4. INCOMPLETE BLOCK DESIGNS; 4.1 Balanced Incomplete Block Design; 4.2 Incomplete Blocks Augmented with Control; 5. CROSSOVER DESIGN; 5.1 Crossover Design in Home-Use Consumer Tests; 5.2 Rating Scale Response; 5.3 Binary Response; 5.4 Analysis of Data with Carry-Over Effects; 6. FRACTIONAL FACTORIAL DESIGN FOR FACTORS AT TWO LEVELS; 6.1 The 2k Factorial Designs; The 22 Factorial Design; Estimate of Average Factor Effects; The 23 Factorial Design; Addition of Center Point in 2k Factorial Design; 6.2 One-Half Fraction of 24 327 $a6.3 One-Half and One-Fourth Fraction of 2k7. SCALING METHODS; 7.1 Sensory Measurements; Nominal Scale; Ordinal Scale; Interval Scale; Ratio Scale; 7.2 The Thurstone-Mosteller Model; 7.3 Ranking Method; Rank Scaling in Balanced Incomplete Block Designs; 7.4 Transitivity Property of Paired Comparison; 7.5 Scaling Consumer Acceptance; In-House Consumer Test; Home-Use Test; Central Location Test; Questionnaire Design; 8. PRODUCT OPTIMIZATION; 8.1 Preliminaries; Test for Adequacy of Statistical Model; Least Squares Estimation of Regression Parameters; 8.2 Why Use Optimization Technique? 327 $a8.3 Types of Optimization ExperimentsNonmixture Experiments; Mixture Experiments; Space Configuration of Nonmixture and Mixture Designs; 8.4 Plackett and Burman Design; 8.5 Box and Behnken Design; 8.6 Box and Wilson Design; 8.7 Mixture Designs; Mixture Models; Scheffe Simplex-Lattice Design; Scheffk Simplex-Centroid Design; Designs with Constraints on Proportion; 8.8 Search for Optimum Areas in Response Surfaces; 8.9 Use of Contour Maps in Product Reformulation; 8.10 Augmentation of Fractional Factorial Design; The Augmented 1/2 Fraction of 24; The Augmented 1/2 and 114 Fractions of 25 327 $aThe Augmented 1/4 Fraction of 268.11 Precaution of Fraction Factorial Designs; 8.12 Optimization of Discrete Variables; Discrete Variable Optimization; Optimization of Discrete and Continuous Variables; 8.13 Optimization for Robustness; The Taguchi Method; Types of Quality Characteristics; Problems with Perceived Quality Characteristics; The Measurement of Quality; Scales for Perceived Quality; The Use of Signal-to-Noise Ratio in Formula Selection; 9. CLAIM SUBSTANTIATION; 9.1 Claim Substantiation Guidelines; 9.2 Testing of Claims Hypothesis; 9.3 Experimental Design and Claims Support 327 $a9.4 Test for Equivalence and Superiority 330 $aThis book discusses experimental designs which are very useful in sensory and consumer testing. As an added feature this coverage is fully illustrated with real-life examples. In addition, the importance of fractional factorial designs are explained more fully than in books now available. The heart of this book is product optimization which covers in great detail designs and analysis of optimization studies with consumers. A rundown of this chapter includes: preliminaries, test for adequacy of statistical model and least squares estimation of regression parameters; why use optimization 410 0$aPublications in food science and nutrition. 606 $aQuality control$xStatistical methods 606 $aSensory evaluation 615 0$aQuality control$xStatistical methods. 615 0$aSensory evaluation. 676 $a658.5/62 676 $a664.072 700 $aGacula$b Maximo C$0859688 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910827877803321 996 $aDesign and analysis of sensory optimization$91918495 997 $aUNINA