08667nam 2201789 450 991055424220332120231110231501.01-80316-164-70-691-21658-410.1515/9780691216584(MiAaPQ)EBC6789954(Au-PeEL)EBL6789954(OCoLC)1248597951(CKB)19414311200041(MdBmJHUP)musev2_98103(DE-B1597)613952(DE-B1597)9780691216584(OCoLC)1291506790(PPN)258899018(EXLCZ)991941431120004120220715d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierThe economist's craft an introduction to research, publishing, and professional development /Michael S. WeisbachPrinceton, New Jersey :Princeton University Press,[2021]©20211 online resource (321 pages)Skills for scholarsPrint version: Weisbach, Michael S. The Economist's Craft Princeton : Princeton University Press,c2021 9780691216492 Includes bibliographical references and index.9. Making Presentations -- 10. Distributing, Revising, and Publicizing Research -- 11. The Journal Review Process -- Part IV. Being a Successful Academic -- 12. How to Be a Productive Doctoral Student -- 13. How to Be a Diligent Thesis Adviser -- 14. Managing an Academic Career -- Epilogue-Academic Success beyond the PhD -- Bibliography -- IndexCover -- Contents -- Preface -- 1. Introduction-How Academic Research Gets Done -- Part I. Selecting a Topic -- 2. Selecting Research Topics -- 3. Strategic Issues in Constructing Research Portfolios -- Part II. Writing a Draft -- 4. An Overview of Writing Academic Research Papers -- 5. The Title, Abstract, and Introduction -- 6. The Body of the Paper: The Literature Review, Theory, Data Description, and Conclusion Sections -- 7. Reporting Empirical Work -- 8. Writing Prose for Academic Articles -- Part III. Once a Draft Is Complete: Presentations, Distribution, and Publication"The incisive guide that helps up-and-coming economists become successful scholarsThe Economist's Craft introduces graduate students and rising scholars to the essentials of research, writing, and other critical skills for a successful career in economics. Michael Weisbach enables you to become more effective at communicating your ideas, emphasizing the importance of choosing topics that will have a lasting impact. He explains how to write clearly and compellingly, present and publish your findings, navigate the job market, and more.Walking readers through each stage of a research project, Weisbach demonstrates how to develop research around a theme so that the value from a body of work is more than the sum of its individual papers. He discusses how to structure each section of an academic article and describes the steps that follow the completion of an initial draft, from presenting and revising to circulating and eventually publishing. Weisbach reveals how to get the most out of graduate school, how the journal review process works, how universities decide promotions and tenure, and how to manage your career and continue to seek out rewarding new opportunities.A how-to guide for the aspiring economist, The Economist's Craft covers a host of important issues rarely taught in the graduate classroom, providing readers with the tools and insights they need to succeed as professional scholars"--Provided by publisher."The Economist's Craft introduces graduate students and rising scholars to the essentials of research, writing, and other critical skills for a successful career in economics. Michael Weisbach enables you to become more effective at communicating your ideas, emphasizing the importance of choosing topics that will have a lasting impact. He explains how to write clearly and compellingly, present and publish your findings, navigate the job market, and more. Walking readers through each stage of a research project, Weisbach demonstrates how to develop research around a theme so that the value from a body of work is more than the sum of its individual papers. He discusses how to structure each section of an academic article and describes the steps that follow the completion of an initial draft, from presenting and revising to circulating and eventually publishing. Weisbach reveals how to get the most out of graduate school, how the journal review process works, how universities decide promotions and tenure, and how to manage your career and continue to seek out rewarding new opportunities. A how-to guide for the aspiring economist, The Economist's Craft covers a host of important issues rarely taught in the graduate classroom, providing readers with the tools and insights they need to succeed as professional scholars"--Provided by publisher.Skills for Scholars EconomicsResearchSocial sciencesResearchMethodologyA Tenured Professor.Academic publishing.Accessibility.Active voice.Adviser.Alfred Hitchcock.Assistant professor.Author.Bankruptcy.Behavior.Board of directors.Career.Carmen Reinhart.Chi-squared test.Clause.Coefficient.Comma splice.Commercial lender (U.S.).Comparative advantage.Competitiveness.Computer performance.Credit rating.Credit risk.Creditor.Criticism.Database.Discretion.Doctor of Philosophy.Econometrics.Economist.Editorial.Email.Faculty (academic staff).Fast food.Fiction.Finance.Fischer Black.Glory Road.Government agency.Graduate school.Grammarly.Greg Mankiw.Human capital.Information technology.Investment.Journal of Financial Economics.Journal of International Economics.Journal of Political Economy.Leveraged buyout.Lewis's.Literature review.Literature.Marketing.Mathematical finance.Mathematics.Mentorship.News.Organization.Paragraph.Pierre de Fermat.Pizza.Positive feedback.Postdoctoral researcher.Principles (retailer).Probability.Profession.Professor.Prose.Prospect theory.Publication.Quantity.Recommendation letter.Reputation.Requirement.Research program.Result.Role model.Run-on sentence.Scholarship.Seminar.Sexism.Simulation.Skill.Skype.Social science.Stephen E. Ambrose.Student View.Suggestion.Tax Benefit.The Elements of Style.Thesis.Trade-off.Uncertainty.Undergraduate education.Unless.Venture capital.William Zinsser.World economy.Write-Up.Writing.EconomicsResearch.Social sciencesResearchMethodology.330.023BUS069000STU000000bisacshWeisbach Michael S(Michael Steven),1219697MiAaPQMiAaPQMiAaPQBOOK9910554242203321The economist’s craft2820139UNINA05809nam 2200757 450 991082452090332120220927192350.01-118-76369-61-118-76366-11-118-76368-8(CKB)2550000001163225(EBL)1563648(OCoLC)863824734(SSID)ssj0001061366(PQKBManifestationID)11550897(PQKBTitleCode)TC0001061366(PQKBWorkID)11098839(PQKB)11371825(MiAaPQ)EBC1563648(DLC) 2013032068(Au-PeEL)EBL1563648(CaPaEBR)ebr10809691(CaONFJC)MIL545363(PPN)192205013(EXLCZ)99255000000116322520131209d2014 uy 0engur|n|---|||||txtccrModern industrial statistics with applications in R, MINITAB and JMP /Ron S. Kenett, Shelemyahu Zacks ; with contributions from Daniele AmbertiSecond edition.Chichester, England :Wiley,2014.©20141 online resource (587 p.)Statistics in practiceDescription based upon print version of record.1-118-45606-8 1-306-14112-5 Includes bibliographical references and indexes.Cover; Title Page; Copyright; Contents; Preface to Second Edition; Preface to First Edition; Abbreviations; Part I Principles of Statistical Thinking and Analysis; Chapter 1 The Role of Statistical Methods in Modern Industry and Services; 1.1 The different functional areas in industry and services; 1.2 The quality-productivity dilemma; 1.3 Fire-fighting; 1.4 Inspection of products; 1.5 Process control; 1.6 Quality by design; 1.7 Information quality and practical statistical efficiency; 1.8 Chapter highlights; 1.9 Exercises; Chapter 2 Analyzing Variability: Descriptive Statistics2.1 Random phenomena and the structure of observations2.2 Accuracy and precision of measurements; 2.3 The population and the sample; 2.4 Descriptive analysis of sample values; 2.4.1 Frequency distributions of discrete random variables; 2.4.2 Frequency distributions of continuous random variables; 2.4.3 Statistics of the ordered sample; 2.4.4 Statistics of location and dispersion; 2.5 Prediction intervals; 2.6 Additional techniques of exploratory data analysis; 2.6.1 Box and whiskers plot; 2.6.2 Quantile plots; 2.6.3 Stem-and-leaf diagrams; 2.6.4 Robust statistics for location and dispersion2.7 Chapter highlights2.8 Exercises; Chapter 3 Probability Models and Distribution Functions; 3.1 Basic probability; 3.1.1 Events and sample spaces: Formal presentation of random measurements; 3.1.2 Basic rules of operations with events: Unions, intersections; 3.1.3 Probabilities of events; 3.1.4 Probability functions for random sampling; 3.1.5 Conditional probabilities and independence of events; 3.1.6 Bayes formula and its application; 3.2 Random variables and their distributions; 3.2.1 Discrete and continuous distributions; 3.2.2 Expected values and moments of distributions3.2.3 The standard deviation, quantiles, measures of skewness and kurtosis3.2.4 Moment generating functions; 3.3 Families of discrete distribution; 3.3.1 The binomial distribution; 3.3.2 The hypergeometric distribution; 3.3.3 The Poisson distribution; 3.3.4 The geometric and negative binomial distributions; 3.4 Continuous distributions; 3.4.1 The uniform distribution on the interval (a, b), a < b; 3.4.2 The normal and log-normal distributions; 3.4.3 The exponential distribution; 3.4.4 The gamma and Weibull distributions; 3.4.5 The Beta distributions3.5 Joint, marginal and conditional distributions3.5.1 Joint and marginal distributions; 3.5.2 Covariance and correlation; 3.5.3 Conditional distributions; 3.6 Some multivariate distributions; 3.6.1 The multinomial distribution; 3.6.2 The multi-hypergeometric distribution; 3.6.3 The bivariate normal distribution; 3.7 Distribution of order statistics; 3.8 Linear combinations of random variables; 3.9 Large sample approximations; 3.9.1 The law of large numbers; 3.9.2 The Central Limit Theorem; 3.9.3 Some normal approximations; 3.10 Additional distributions of statistics of normal samples3.10.1 Distribution of the sample varianceFully revised and updated, this book combines a theoretical background with examples and references to R, MINITAB and JMP, enabling practitioners to find state-of-the-art material on both foundation and implementation tools to support their work. Topics addressed include computer-intensive data analysis, acceptance sampling, univariate and multivariate statistical process control, design of experiments, quality by design, and reliability using classical and Bayesian methods. The book can be used for workshops or courses on acceptance sampling, statistical process control, design of experimeStatistics in PracticeQuality controlStatistical methodsReliability (Engineering)Statistical methodsR (Computer program language)Quality controlStatistical methods.Reliability (Engineering)Statistical methods.R (Computer program language)658.5/62Kenett Ron874200Zacks Shelemyahu1932-12451Amberti Daniele1695930MiAaPQMiAaPQMiAaPQBOOK9910824520903321Modern industrial statistics4075510UNINA