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[null,"1.","Record Nr.",null,"UNISA996432453403316"]
[null,null,"Autore",null,"GRACIÁN, Baltasar"]
[null,null,"Titolo",null,"El palacio sin puertas : (antología) / Baltazar Gracián ; selección y prólogo de José Balza"]
[null,null,"Pubbl/distr/stampa",null,"Caracas, : Monte Avila, 1991"]
[null,null,"ISBN",null,"980-01-0435-6"]
[null,null,"Descrizione fisica",null,"212 p. ; 21 cm"]
[null,null,"Collana",null,"Colección Memorabilia"]
[null,null,"Disciplina",null,"868.308"]
[null,null,"Collocazione",null,"VI.7.A. 1118"]
[null,null,"Lingua di pubblicazione",null,"Spagnolo"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910831196003321"]
[null,null,"Autore",null,"Good Phillip I"]
[null,null,"Titolo",null,"Introduction to statistics through resampling methods and Microsoft Office Excel [[electronic resource] /] / Phillip I. Good"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, N.J., : Wiley-Interscience, c2005"]
[null,null,"ISBN",null,"1-280-27720-3"]
[{"$nulls":4},"9786610277209"]
[{"$nulls":4},"0-470-32514-3"]
[{"$nulls":4},"0-471-74177-9"]
[{"$nulls":4},"0-471-74176-0"]
[null,null,"Descrizione fisica",null,"1 online resource (245 p.)"]
[null,null,"Disciplina",null,"519.52"]
[{"$nulls":4},"519.54"]
[null,null,"Soggetti",null,"Resampling (Statistics)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"INTRODUCTION TO STATISTICS THROUGH RESAMPLING METHODS AND MICROSOFT OFFICE EXCEL®; Contents; Preface; 1. Variation (or What Statistics Is All About); 1.1. Variation; 1.2. Collecting Data; 1.3. Summarizing Your Data; 1.3.1 Learning to Use Excel; 1.4. Reporting Your Results: the Classroom Data; 1.4.1 Picturing Data; 1.4.2 Displaying Multiple Variables; 1.4.3 Percentiles of the Distribution; 1.5. Types of Data; 1.5.1 Depicting Categorical Data; 1.5.2 From Observations to Questions; 1.6. Measures of Location; 1.6.1 Which Measure of Location?; 1.6.2 The Bootstrap; 1.7. Samples and Populations"]
[{"$nulls":4},"1.7.1 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 Values"]
[{"$nulls":4},"3.1.1 Cumulative Distribution Function3.1.2 Empirical Distribution Function; 3.2. Discrete Distributions; 3.3. Poisson: Events Rare in Time "]
[{"$nulls":4},"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 Means"]
[{"$nulls":4},"3.7.2 Are Two Variables Correlated?3.7.3 Using Confidence Intervals to Test Hypotheses; 3.8. Summary and Review; 4. Testing Hypotheses; 4.1. One-Sample Problems; 4.1.1 Percentile Bootstrap; 4.1.2 Parametric Bootstrap; 4.1.3 Student's t; 4.2. Comparing Two Samples; 4.2.1 Comparing Two Poisson Distributions; 4.2.2 What Should We Measure?; 4.2.3 Permutation Monte Carlo; 4.2.4 Two-Sample t-Test; 4.3. Which Test Should We Use?; 4.3.1 p Values and Significance Levels; 4.3.2 Test Assumptions; 4.3.3 Robustness; 4.3.4 Power of a Test Procedure; 4.3.5 Testing for Correlation; 4.4. Summary and Review"]
[{"$nulls":4},"5. 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"]
[{"$nulls":4},"Bootstrap"]
[null,null,null,"Sommario/riassunto","Learn statistical methods quickly and easily with the discovery methodWith its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods, such as bootstrap, decision trees, t-test, and permutations to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their researc"]
[null,"3.","Record Nr.",null,"UNINA9910146586603321"]
[null,null,"Titolo",null,"Prostaglandins"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Elsevier Science, -©1997"]
[null,null,"ISSN",null,"1878-416X"]
[null,null,"Soggetti",null,"Prostaglandins"]
[{"$nulls":4},"prostaglandins"]
[{"$nulls":4},"periodicals"]
[{"$nulls":4},"Prostaglandines"]
[{"$nulls":4},"Periodicals."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Periodico"]