02941oam 22006374a 450 991078130630332120221013233458.01-57506-546-010.1515/9781575065465(CKB)2550000000039480(OCoLC)747412039(CaPaEBR)ebrary10483381(SSID)ssj0000533973(PQKBManifestationID)12232345(PQKBTitleCode)TC0000533973(PQKBWorkID)10492984(PQKB)11300475(Au-PeEL)EBL3155533(CaPaEBR)ebr10483381(OCoLC)922991369(DE-B1597)584139(DE-B1597)9781575065465(MdBmJHUP)musev2_80908(MiAaPQ)EBC3155533(EXLCZ)99255000000003948020140325d2004 uy 0engurcn|||||||||txtccrThe Anatomy of a Mesopotamian CitySurvey and Soundings at Mashkan-shapir /by Elizabeth C. Stone and Paul Zimansky ; with epigraphy by Piotr Steinkeller ; and contributions by Vincent Pigott, Lisa Wells, and Tony WilkinsonWinona Lake, Ind. :Eisenbrauns,2004©20041 online resource (524 p.)Bibliographic Level Mode of Issuance: Monograph1-57506-082-5 Includes bibliographical references (p. 489-504).Indhold: Research design -- The site and its environs -- A history of Mashkan-shapir and its role in the Kingdom of Larsa / Piotr Steinkeller -- Survey methods and analytic procedures -- Types and characteristics of surface features -- The objects -- A building inscription of Sin-iddinam and other inscribed materials from Abu Duwari / Piotr Steinkeller -- Locational data -- Distribution of features and objects in the urban environmentThis volume describes and analyzes the survey work at the site of the ancient Mesopotamian city, Mashkan-shapir. A general description of the site and its environs is followed by the rationale for identifying the site as Mashkan-shapir. Specific details of the archaeological data are followed by analysis and a series of supplementary appendices.Excavations (Archaeology)fast(OCoLC)fst00917564Excavations (Archaeology)IraqMashkan-shapir (Extinct city)Middle EastMashkan-shapir (Extinct city)fastMashkan-shapir (Extinct city)Excavations (Archaeology)Excavations (Archaeology)935Stone Elizabeth C.1949-1538656Steinkeller Piotr637518Zimansky Paul1538657MdBmJHUPMdBmJHUPBOOK9910781306303321The Anatomy of a Mesopotamian City3788824UNINA05370nam 22006614a 450 991102047600332120200520144314.0978661027720997812802772071280277203978047032514804703251439780471741770047174177997804717417630471741760(CKB)1000000000355096(EBL)232613(OCoLC)171257359(SSID)ssj0000182935(PQKBManifestationID)11168332(PQKBTitleCode)TC0000182935(PQKBWorkID)10193752(PQKB)10575728(MiAaPQ)EBC232613(Perlego)2770380(EXLCZ)99100000000035509620050204d2005 uy 0engur|n|---|||||txtccrIntroduction to statistics through resampling methods and Microsoft Office Excel /Phillip I. GoodHoboken, N.J. Wiley-Intersciencec20051 online resource (245 p.)Description based upon print version of record.9780471731917 0471731919 Includes bibliographical references and index.INTRODUCTION TO STATISTICS THROUGH RESAMPLING METHODS AND MICROSOFT OFFICE EXCEL®; Contents; Preface; 1. Variation (or What Statistics Is All About); 1.1. Variation; 1.2. Collecting Data; 1.3. Summarizing Your Data; 1.3.1 Learning to Use Excel; 1.4. Reporting Your Results: the Classroom Data; 1.4.1 Picturing Data; 1.4.2 Displaying Multiple Variables; 1.4.3 Percentiles of the Distribution; 1.5. Types of Data; 1.5.1 Depicting Categorical Data; 1.5.2 From Observations to Questions; 1.6. Measures of Location; 1.6.1 Which Measure of Location?; 1.6.2 The Bootstrap; 1.7. Samples and Populations1.7.1 Drawing a Random Sample1.7.2 Ensuring the Sample is Representative; 1.8. Variation-Within and Between; 1.9. Summary and Review; 2. Probability; 2.1. Probability; 2.1.1 Events and Outcomes; 2.1.2 Venn Diagrams; 2.2. Binomial; 2.2.1 Permutations and Rearrangements; 2.2.2 Back to the Binomial; 2.2.3 The Problem Jury; 2.2.4 Properties of the Binomial; 2.2.5 Multinomial; 2.3. Conditional Probability; 2.3.1 Market Basket Analysis; 2.3.2 Negative Results; 2.4. Independence; 2.5. Applications to Genetics; 2.6. Summary and Review; 3. Distributions; 3.1. Distribution of Values3.1.1 Cumulative Distribution Function3.1.2 Empirical Distribution Function; 3.2. Discrete Distributions; 3.3. Poisson: Events Rare in Time and Space; 3.3.1 Applying the Poisson; 3.3.2 Comparing Empirical and Theoretical Poisson Distributions; 3.4. Continuous Distributions; 3.4.1 The Exponential Distribution; 3.4.2 The Normal Distribution; 3.4.3 Mixtures of Normal Distributions; 3.5. Properties of Independent Observations; 3.6. Testing a Hypothesis; 3.6.1 Analyzing the Experiment; 3.6.2 Two Types of Errors; 3.7. Estimating Effect Size; 3.7.1 Confidence Interval for Difference in Means3.7.2 Are Two Variables Correlated?3.7.3 Using Confidence Intervals to Test Hypotheses; 3.8. Summary and Review; 4. Testing Hypotheses; 4.1. One-Sample Problems; 4.1.1 Percentile Bootstrap; 4.1.2 Parametric Bootstrap; 4.1.3 Student's t; 4.2. Comparing Two Samples; 4.2.1 Comparing Two Poisson Distributions; 4.2.2 What Should We Measure?; 4.2.3 Permutation Monte Carlo; 4.2.4 Two-Sample t-Test; 4.3. Which Test Should We Use?; 4.3.1 p Values and Significance Levels; 4.3.2 Test Assumptions; 4.3.3 Robustness; 4.3.4 Power of a Test Procedure; 4.3.5 Testing for Correlation; 4.4. Summary and Review5. Designing an Experiment or Survey5.1. The Hawthorne Effect; 5.1.1 Crafting an Experiment; 5.2. Designing an Experiment or Survey; 5.2.1 Objectives; 5.2.2 Sample from the Right Population; 5.2.3 Coping with Variation; 5.2.4 Matched Pairs; 5.2.5 The Experimental Unit; 5.2.6 Formulate Your Hypotheses; 5.2.7 What Are You Going to Measure?; 5.2.8 Random Representative Samples; 5.2.9 Treatment Allocation; 5.2.10 Choosing a Random Sample; 5.2.11 Ensuring that Your Observations are Independent; 5.3. How Large a Sample?; 5.3.1 Samples of Fixed Size; Known Distribution; Almost Normal Data BootstrapLearn statistical methods quickly and easily with the discovery methodWith its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods, such as bootstrap, decision trees, t-test, and permutations to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their researcResampling (Statistics)Resampling (Statistics)519.5/4Good Phillip I102489MiAaPQMiAaPQMiAaPQBOOK9911020476003321Introduction to statistics through resampling methods and Microsoft Office Excel4422329UNINA