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[null,"1.","Record Nr.",null,"UNINA9911019421603321"]
[null,null,"Autore",null,"Kulinskaya Elena"]
[null,null,"Titolo",null,"Meta analysis : a guide to calibrating and combining statistical evidence / / Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte"]
[null,null,"Pubbl/distr/stampa",null,"Chichester, West Sussex ; ; Hoboken, NJ, : John Wiley & Sons, c2008"]
[null,null,"ISBN",null,"9786611319816"]
[{"$nulls":4},"9781281319814"]
[{"$nulls":4},"1281319813"]
[{"$nulls":4},"9780470985533"]
[{"$nulls":4},"0470985534"]
[{"$nulls":4},"9780470985526"]
[{"$nulls":4},"0470985526"]
[null,null,"Descrizione fisica",null,"1 online resource (284 p.)"]
[null,null,"Collana",null,"Wiley series in probability and statistics"]
[null,null,"Disciplina",null,"519.5"]
[{"$nulls":4},"610.72/7"]
[{"$nulls":4},"610.727"]
[null,null,"Soggetti",null,"Meta-analysis"]
[{"$nulls":4},"Medicine - Research - Evaluation"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. [253]-256) and index."]
[null,null,"Nota di contenuto",null,"Meta Analysis A Guide to Calibrating and Combining Statistical Evidence; Contents; Preface; Part I The Methods; 1 What can the reader expect from this book?; 1.1 A calibration scale for evidence; 1.1.1 T -values and p-values; 1.1.2 How generally applicable is the calibration scale?; 1.1.3 Combining evidence; 1.2 The efficacy of glass ionomer versus resin sealants for prevention of caries; 1.2.1 The data; 1.2.2 Analysis for individual studies; 1.2.3 Combining the evidence: fixed effects model; 1.2.4 Combining the evidence: random effects model; 1.3 Measures of effect size for two populations"]
[{"$nulls":4},"1.4 Summary2 Independent measurements with known precision; 2.1 Evidence for one-sided alternatives; 2.2 Evidence for two-sided alternatives; 2.3 Examples; 2.3.1 Filling containers; 2.3.2 Stability of blood samples; 2.3.3 Blood alcohol testing; 3 Independent measurements with unknown precision; 3.1 Effects and standardized effects; 3.2 Paired comparisons; 3.3 Examples; 3.3.1 Daily energy intake compared to a fixed level; 3.3.2 Darwin's data on Zea mays; 4 "]
[{"$nulls":4},"Comparing treatment to control; 4.1 Equal unknown precision; 4.2 Differing unknown precision; 4.3 Examples"]
[{"$nulls":4},"4.3.1 Drop in systolic blood pressure4.3.2 Effect of psychotherapy on hospital length of stay; 5 Comparing K treatments; 5.1 Methodology; 5.2 Examples; 5.2.1 Characteristics of antibiotics; 5.2.2 Red cell folate levels; 6 Evaluating risks; 6.1 Methodology; 6.2 Examples; 6.2.1 Ultrasound and left-handedness; 6.2.2 Treatment of recurrent urinary tract infections; 7 Comparing risks; 7.1 Methodology; 7.2 Examples; 7.2.1 Treatment of recurrent urinary tract infections; 7.2.2 Diuretics in pregnancy and risk of pre-eclamsia; 8 Evaluating Poisson rates; 8.1 Methodology; 8.2 Example"]
[{"$nulls":4},"8.2.1 Deaths by horse-kicks9 Comparing Poisson rates; 9.1 Methodology; 9.1.1 Unconditional evidence; 9.1.2 Conditional evidence; 9.2 Example; 9.2.1 Vaccination for the prevention of tuberculosis; 10 Goodness-of-fit testing; 10.1 Methodology; 10.2 Example; 10.2.1 Bellbirds arriving to feed nestlings; 11 Evidence for heterogeneity of effects and transformed effects; 11.1 Methodology; 11.1.1 Fixed effects; 11.1.2 Random effects; 11.2 Examples; 11.2.1 Deaths by horse-kicks; 11.2.2 Drop in systolic blood pressure; 11.2.3 Effect of psychotherapy on hospital length of stay"]
[{"$nulls":4},"11.2.4 Diuretics in pregnancy and risk of pre-eclamsia12 Combining evidence: fixed standardized effects model; 12.1 Methodology; 12.2 Examples; 12.2.1 Deaths by horse-kicks; 12.2.2 Drop in systolic blood pressure; 13 Combining evidence: random standardized effects model; 13.1 Methodology; 13.2 Example; 13.2.1 Diuretics in pregnancy and risk of pre-eclamsia; 14 Meta-regression; 14.1 Methodology; 14.2 Commonly encountered situations; 14.2.1 Standardized difference of means; 14.2.2 Difference in risk (two binomial proportions); 14.2.3 Log relative risk (two Poisson rates); 14.3 Examples"]
[{"$nulls":4},"14.3.1 Effect of open education on student creativity"]
[null,null,null,"Sommario/riassunto","Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence.The book is comprised of two parts - The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory"]
[null,"2.","Record Nr.",null,"UNINA9910299672103321"]
[null,null,"Titolo",null,"Complex System Modelling and Control Through Intelligent Soft Computations / / edited by Quanmin Zhu, Ahmad Taher Azar"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-319-12883-3"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (IX, 863 p. 383 illus., 93 illus. in color.)"]
[null,null,"Collana",null,"Studies in Fuzziness and Soft Computing, , 1860-0808 ; ; 319"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Control engineering"]
[{"$nulls":4},"Industrial engineering"]
[{"$nulls":4},"Production engineering"]
[{"$nulls":4},"System theory"]
[{"$nulls":4},"Dynamics"]
[{"$nulls":4},"Nonlinear theories"]
[{"$nulls":4},"Mathematical physics"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Control and Systems Theory"]
[{"$nulls":4},"Industrial and Production Engineering"]
[{"$nulls":4},"Complex Systems"]
[{"$nulls":4},"Applied Dynamical Systems"]
[{"$nulls":4},"Theoretical, Mathematical and Computational Physics"]
[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","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Design and Modeling of Anti Wind Up PID Controllers -- A Hybrid Global Optimization Algorithm: Particle Swarm Optimization in Association with a Genetic Algorithm -- Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data -- Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map -- Leukocyte Detection through an Evolutionary Method -- PWARX model identification based on clustering approach -- Supplier quality evaluation using a fuzzy multi criteria decision making approach -- Concept Trees: Building Dynamic Concepts from Semi-Structured Data using Nature-Inspired Methods -- Swarm Intelligence Techniques and Their Adaptive Nature with "]
[{"$nulls":4},"Applications -- Signal Based Fault Detection and Diagnosis for rotating electrical machines: Issues and Solutions -- Modelling Of Intrusion Detection System Using Artificial Intelligence -Evaluation Of Performance Measures -- Enhanced Power System Security Assessment through Intelligent DecisionTrees -- Classification of Normal and Epileptic Seizure EEG Signals based on Empirical Mode Decomposition -- A Rough Set Based Total Quality Management Approach in Higher Education -- Iterative Dual Rational Krylov and Iterative SVD-Dual Rational Krylov Model Reduction for Switched Linear Systems -- Household Electrical Consumption Modeling through Fuzzy Logic Approach -- Modeling,Identification and Control of irrigation station with sprinkling: Takagi- Sugeno approach -- Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Artificial Intelligent Approaches -- Secondary and Tertiary Structure Prediction of Proteins: A Bioinformatic Approach -- Approximation of Optimized Fuzzy Logic Controller for Shunt Active Power Filter.-Soft Computing Techniques For Optimal Capacitor Placement -- Advanced Metaheuristics-based Approach for Fuzzy Control Systems Tuning -- Robust Estimation Design for Unknown Inputs Fuzzy Bilinear Models: Application to Faults Diagnosis -- Unit Commitment Optimization Using Gradient-Genetic algorithm and Fuzzy logic approaches -- Impact of Hardware/Software Partitioning and MicroBlaze FPGA Configurations on the Embedded Systems Performances -- A Neural Approach to Cursive Handwritten Character Recognition using Features Extracted from Binarization Technique -- System Identification Technique and Neural Networks for Material Lifetime Assessment Application -- Measuring Software Reliability: A Trend using Machine Learning Techniques -- Hybrid Metaheuristic Approach for Scheduling of Aperiodic OS Tasks."]
[null,null,null,"Sommario/riassunto","The book offers a snapshot of the theories and applications of soft computing in the area of complex systems modeling and control. It presents the most important findings discussed during the 5th International Conference on Modelling, Identification and Control, held in Cairo, from August 31-September 2, 2013. The book consists of twenty-nine selected contributions, which have been thoroughly reviewed and extended before their inclusion in the volume. The different chapters, written by active researchers in the field, report on both current theories and important applications of soft-computing. Besides providing the readers with soft-computing fundamentals, and soft-computing based inductive methodologies/algorithms, the book also discusses key industrial soft-computing applications, as well as multidisciplinary solutions developed for a variety of purposes, like windup control, waste management, security issues, biomedical applications and many others. It is a perfect reference guide for graduate students, researchers and practitioners in the area of soft computing, systems modeling and control."]