03734nam 2200649Ia 450 991114562010332120260415134457.01-281-94401-797866119440180-19-152905-2(CKB)1000000000721486(EBL)3052743(OCoLC)252536893(SSID)ssj0000106267(PQKBManifestationID)11132842(PQKBTitleCode)TC0000106267(PQKBWorkID)10108055(PQKB)11005652(Au-PeEL)EBL3052743(CaPaEBR)ebr10272806(CaONFJC)MIL194401(MiAaPQ)EBC3052743(EXLCZ)99100000000072148620000921d2001 uy 0engur|n|---|||||txtccrAs time goes by from the industrial revolutions to the information revolution /Chris Freeman and Francisco Louca1st ed.Oxford ;New York Oxford University Press20011 online resource (424 p.)Description based upon print version of record.0-19-924107-4 Includes bibliographical references (p. [373]-395) and index.""Contents""; ""List of Figures""; ""List of Tables""; ""Part I: History and Economics""; ""Introduction: The Fundamental Things Apply""; ""1 Restless Clio: A Story of the Economic Historians' Assessment of History in Economics""; ""2 Schumpeter's Plea for Reasoned History""; ""3 Nikolai Kondratiev: A New Approach to History and Statistics""; ""4 The Strange Attraction of Tides and Waves""; ""Conclusions to Part I: A Theory of Reasoned History""; ""Part II: Successive Industrial Revolutions""; ""Introduction: Technical Change and Long Waves in Economic Development""""5 The British Industrial Revolution: The Age of Cotton, Iron, and Water Power""""6 The Second Kondratiev Wave: The Age of Iron Railways, Steam Power, and Mechanization""; ""7 The Third Kondratiev Wave: The Age of Steel, Heavy Engineering, and Electrification""; ""8 The Fourth Kondratiev Wave: The Great Depression and the Age of Oil, Automobiles, Motorization, and Mass Production""; ""9 The Emergence of a New Techno-economic Paradigm: The Age of Information and Communication Technology (ICT)""; ""Conclusions to Part II: Recurrent Phenomena of the Long Waves of Capitalist Development""""Epilogue""""References""; ""Index""; ""A""; ""B""; ""C""; ""D""; ""E""; ""F""; ""G""; ""H""; ""I""; ""J""; ""K""; ""L""; ""M""; ""N""; ""O""; ""P""; ""Q""; ""R""; ""S""; ""T""; ""U""; ""V""; ""W""; ""Y""; ""Z""The Internet and mobile telephones have made everyone more aware than ever of the computer revolution and its effects on the economy and society. 'As Time Goes By' puts this revolution in the perspective of previous waves of technical change: steam-powered mechanization, electrification, and motorization. It argues for a theory of reasoned economic history which assigns a central place to these successive technological revolutions.Long waves (Economics)HistoryInformation technologyHistoryIndustrial revolutionLong waves (Economics)History.Information technologyHistory.Industrial revolution.338.5/4338.54Freeman Christopher1921-2010.89232Louçã Francisco265764MiAaPQMiAaPQMiAaPQBOOK9911145620103321As time goes by1445149UNINA04871nam 2200709Ia 450 991113986250332120200520144314.097866110055359781281005533128100553397800804916530080491650(CKB)1000000000363774(EBL)294621(OCoLC)441784814(SSID)ssj0000183111(PQKBManifestationID)11156133(PQKBTitleCode)TC0000183111(PQKBWorkID)10172471(PQKB)11552865(Au-PeEL)EBL294621(CaPaEBR)ebr10186419(CaONFJC)MIL100553(OCoLC)162575888(PPN)170257428(FR-PaCSA)88809571(MiAaPQ)EBC294621(FRCYB88809571)88809571(EXLCZ)99100000000036377420030806d2003 uy 0engurcn|||||||||txtccrIntroductory statistics for engineering experimentation /Peter R. Nelson, Marie Coffin, Karen A.F. Copeland1st ed.Amsterdam ;Boston Elsevier/Academic Pressc20031 online resource (527 p.)Description based upon print version of record.9780125154239 0125154232 Includes bibliographical references (p. 508-510) and index.Front Cover; Introductory Statistics for Engineering Experimentation; Copyright Page; Contents; Preface; Chapter 1. Introduction; Variability; Experimental Design; Random Sampling; Randomization; Replication; Problems; Chapter 2. Summarizing Data; 2.1 Simple Graphical Techniques; 2.2 Numerical Summaries and Box Plots; 2.3 Graphical Tools for Designed Experiments; 2.4 Chapter Problems; Chapter 3. Models for Experiment Outcomes; 3.1 Models for Single-Factor Experiments; 3.2 Models for Two-Factor Factorial Experiments; 3.3 Models for Bivariate Data; 3.4 Models for Multivariate Data3.5 Assessing the Fit of a Model 3.6 Chapter Problems; Chapter 4. Models for the Random Error; 4.1 Random Variables; 4.2 Important Discrete Distributions; 4.3 Important Continuous Distributions; 4.4 Assessing the Fit of a Distribution; 4.5 Chapter Problems; Chapter 5. Inference for a Single Population; 5.1 Central Limit Theorem; 5.2 A Confidence Interval for μ; 5.3 Prediction and Tolerance Intervals; 5.4 Hypothesis Tests; 5.5 Inference for Binomial Populations; 5.6 Chapter Problems; Chapter 6. Comparing Two Populations; 6.1 Paired Samples; 6.2 Independent Samples6.3 Comparing Two Binomial Populations 6.4 Chapter Problems; Chapter 7. One-Factor Multi-Sample Experiments; 7.1 Basic Inference; 7.2 The Analysis of Means; 7.3 ANOM with Unequal Sample Sizes; 7.4 ANOM for Proportions; 7.5 The Analysis of Variance; 7.6 The Equal Variances Assumption; 7.7 Sample Sizes; 7.8 Chapter Problems; Chapter 8. Experiments with Two Factors; 8.1 Interaction; 8.2 More Than One Observation Per Cell; 8.3 Only One Observation per Cell; 8.4 Blocking to Reduce Variability; 8.5 Chapter Problems; Chapter 9. Multi-Factor Experiments; 9.1 ANOVA for Multi-Factor Experiments9.2 2k Factorial Designs 9.3 Fractional Factorial Designs; 9.4 Chapter Problems; Chapter 10. Inference for Regression Models; 10.1 Inference for a Regression Line; 10.2 Inference for Other Regression Models; 10.3 Chapter Problems; Chapter 11. Response Surface Methods; 11.1 First-Order Designs; 11.2 Second-Order Designs; 11.3 Chapter Problems; Chapter 12. Appendices; 12.1 Appendix A - Descriptions of Data Sets; 12.2 Appendix B - Tables; 12.3 Appendix C - Figures; 12.4 Appendix D - Sample Projects; Chapter 13. References; IndexThe Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that ""Students must demonstrate a knowledge of the application of statistics to engineering problems."" Since most engineering curricula are filled with requirements in their own discipline, they generally do not have time for a traditional two semesters of probability and statistics. Attempts to condense that material into a single semester often results in so much time being spent on probability that the statistics useful for designing and analyzing engineerEngineeringStatistical methodsEngineeringExperimentsEngineeringStatistical methods.EngineeringExperiments.620/.007/27Nelson Peter RCoffin MarieCopeland Karen A. FMiAaPQMiAaPQMiAaPQBOOK9911139862503321UNINA