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[null,"1.","Record Nr.",null,"UNISA996213520603316"]
[null,null,"Autore",null,"Woolson Robert F"]
[null,null,"Titolo",null,"Statistical methods for the analysis of biomedical data [[electronic resource] /] / Robert F. Woolson, William R. Clarke"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Wiley-Interscience, c2002"]
[null,null,"ISBN",null,"1-282-25345-X"]
[{"$nulls":4},"9786613814104"]
[{"$nulls":4},"1-118-03305-1"]
[{"$nulls":4},"1-118-03130-X"]
[null,null,"Edizione",null,"[2nd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (714 p.)"]
[null,null,"Collana",null,"Wiley series in probability and statistics"]
[null,null,"Disciplina",null,"610.15195"]
[{"$nulls":4},"610/.21"]
[null,null,"Soggetti",null,"Medical statistics"]
[{"$nulls":4},"Biometry"]
[{"$nulls":4},"Electronic books."]
[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 bibliographies and index."]
[null,null,"Nota di contenuto",null,"Statistical Methods for the Analysis of Biomedical Data; Dedication; Contents; Preface to the 1987 Edition; Preface to the 2002 Edition; Acknowledgments; 1 Introduction; 1.1 Overview of Statistics; 1.2 A Designed Experiment; 1.2.1 Order of Interviewing (Randomization); 1.2.2 Possible Outcomes of the Experiment (Sample Space); 1.3 Scope and Organization of Book; References; 2 Descriptive Statistics; 2.1 Introduction; 2.2 Classification of Variables; 2.3 Representing Data with Notation; 2.4 Central Tendency of a Set of Data; 2.5 Variability in a Set of Data; 2.6 Pictorial Data Representation"]
[{"$nulls":4},"2.7 Sample Description with Grouped Data2.8 Tabulation and Graphing of Grouped Data; 2.9 Summary Statistics for Grouped Data; 2.10 Using SAS for Computations; 2.11 Summary; Problems; References; 3 Basic Probability Concepts; 3.1 Introduction; 3.2 Probability; 3.2.1 Probability Defined; 3.2.2 Addition Rule; 3.2.3 Conditional Probability and Multiplication Rule; 3.3 Bayes' Theorem: A Useful Result from Probability Theory; 3.4 Probability Distributions and Random Variables; 3.5 Summary; Problems; References; 4 Further Aspects of Probability; 4.1 Introduction"]
[{"$nulls":4},"4.2 Populations, Samples, and Random Samples4.3 Parameters and Statistics; 4.4 Permutations and Combinations: Factorial Notation; 4.5 "]
[{"$nulls":4},"Some Discrete Probability Distributions; 4.5.1 Binomial Distribution; 4.5.2 Poisson Distribution; 4.5.3 Hypergeometric Distribution; 4.5.4 Multinomial Distribution; 4.6 Normal Probability Distribution; 4.7 Sampling Distributions: Probability Distributions Generated by Random Sampling; 4.8 The t, χ2, and F Probability Distributions; 4.9 Summary; Problems; References; 5 Confidence Intervals and Hypothesis Testing: General Considerations and Applications"]
[{"$nulls":4},"5.1 Introduction5.2 Estimation of Population Characteristics: Point and Interval Estimation; 5.2.1 Confidence Interval for a Population Mean μ with Variance σ2 Known; 5.2.2 Confidence Interval for a Population Mean μ with Variance σ2 Unknown; 5.2.3 Confidence Interval for the Variance σ2 of a Normal Population; 5.2.4 Confidence Interval for a Binomial Proportion p; 5.3 Testing Statistical Hypotheses; 5.3.1 Hypothesis Testing for a Population Mean μ σ2 Known; 5.3.2 Hypothesis Testing for a Population Mean μ σ2 Unknown; 5.3.3 Hypothesis Testing for a Normal Population Variance σ2"]
[{"$nulls":4},"5.3.4 Hypothesis Testing for Binomial Parameter p5.4 Using SAS for Computations; 5.5 Summary; Problems; References; 6 Comparison of Two Groups: t-Tests and Rank Tests; 6.1 Introduction; 6.2 Use of t-Tests for Group Comparisons; 6.2.1 Paired t-Test for Comparing Means: A Test for Matched Pairs; 6.2.2 Two-Sample t-Test for Comparing Means: A Test for Two Independent Groups; 6.2.3 Cochran-Cox t-Test for Equality of Means: A Modified t-Test for Two Independent Groups; 6.2.4 The F-Test for Equality of Variances: A Test for Two Independent Groups; 6.2.5 Transformation of Data to Equalize Variance"]
[{"$nulls":4},"6.3 Use of Rank Tests for Group Comparisons"]
[null,null,null,"Sommario/riassunto","The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance.* Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand."]
[null,"2.","Record Nr.",null,"UNINA9910741147003321"]
[null,null,"Titolo",null,"Electronic Government : 22nd IFIP WG 8.5 International Conference, EGOV 2023, Budapest, Hungary, September 5–7, 2023, Proceedings / / edited by Ida Lindgren, Csaba Csáki, Evangelos Kalampokis, Marijn Janssen, Gabriela Viale Pereira, Shefali Virkar, Efthimios Tambouris, Anneke Zuiderwijk"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"3-031-41138-2"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (xix, 464 pages) : illustrations (some color)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 14130"]
[null,null,"Disciplina",null,"354.81150006"]
[null,null,"Soggetti",null,"Computers and civilization"]
[{"$nulls":4},"Computer engineering"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computers and Society"]
[{"$nulls":4},"Computer Engineering and Networks"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Digital Government -- Construct Hunting in GovTech Research: An Exploratory Data Analysis -- Harmonization in eProcurement: Design of a holistic solution model for pre-award procedures -- Government as a Platform in Practice: Commonalities and Differences Across three European Countries -- The self-serving citizen as a co-producer in the digital public service delivery -- The digital cage dilemma - how street-level bureaucrats at public libraries are a key to digital inclusion -- Artificial Intelligence, Algorithms, and Automation -- Untangling the Relationship between Public Service Automation and No-Stop Government -- ChatGPT application vis-a-vis Open Government Data (OGD): Capabilities, Public Values, Issues and a Research Agenda -- The Human Likeness of Government Chatbots – an Empirical Study from Norwe-gian Municipalities -- Automatic Bill Recommendation for Statehouse Journalists -- Assessing Forgetfulness in Data Stream Learning – The Case of Hoeffding AnyTime Tree Algorithm -- Robot colleagues in local government: Empirical examples of employee experiences -- Using Artificial Intelligence in Parliament - The Hellenic "]
[{"$nulls":4},"Case. -An Ecosystem for deploying Artificial Intelligence in Public Administration -- Open Government and Open Data -- Towards High-Value Datasets determination for data-driven development: a sys-tematic literature review -- Classification of Open Government Data Solutions' Help: A Novel Taxonomy and Cluster Analysis -- Verifying Open Data Portals Completeness in Compliance to a Grounding Frame-work -- An Extensive Methodology and Framework for Quality Assessment of DCAT-AP Datasets -- Drivers of Dissatisfaction with an Open Government Data Portal: A Critical Incident Technique Approach -- Smart Cities, Regions, and Societies -- Design Principles for developing Open Source Urbanism -- Traffic Flow Prediction with Swiss Open Data: A Deep Learning Approach -- A Systematic Literature Review on the Adoption of Edge Computing for Sustainable Development -- Governance Mechanism of Public-Private Partnerships for Promoting Smart City Performance: A Multi-Case Study in China -- Innovation and Transformation in Government -- Dynamic Capabilities and Digital Transformation in Public sector: Evidence from Brazilian case study -- The Vicious Cycle of Magical Thinking: How IT Governance Counteracts Digital Transformation -- The Maturity of Knowledge-based Management in Finnish Central-Government Organizations: The Need for Managing the Knowledge-based Management -- Affording and constraining digital transformation: The enactment of structural change in three Swedish government agencies -- The Evolution of Government Strategies from IT to Digitalization: A Comparative Study of Two Time Periods in Swedish Local Governments -- Exploring Digital Innovation Paths in Healthcare: the Case of a Large Swedish Healthcare Organization."]
[null,null,null,"Sommario/riassunto","This book constitutes the proceedings of the 22nd IFIP WG 8.5 International Conference on Electronic Government, EGOV 2023, which took place in Budapest, Hungary, during September 5–7, 2023. The 28 full papers included in this book were carefully reviewed and selected from a total of 106 submissions. They were organized in topical sections as follows: Digital government; artificial intelligence, algorithms, and automation; open government and open data; smart cities, regions, and societies; innovation and transformation in government."]