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75 Years of the Indian National Sample Survey : Evolution of Sample Design, Key Challenges and Way Forward / / by G C Manna
| 75 Years of the Indian National Sample Survey : Evolution of Sample Design, Key Challenges and Way Forward / / by G C Manna |
| Autore | Manna G. C |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (313 pages) |
| Disciplina | 331 |
| Collana | India Studies in Business and Economics |
| Soggetto topico |
Labor economics
Population - Economic aspects Economics - Computer programs Development economics Sampling (Statistics) Experimental design Social sciences - Statistical methods Labor and Population Economics Computational Economics Development Economics Survey Methodology Design of Experiments Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
| ISBN | 981-9673-20-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction and history of formation of the NSS -- Chapter 2. Salient features of the NSS -- Chapter 3. Sample designs adopted in the NSS over its 75 years of operation -- Chapter 4. Major changes in sample design over the 75 years of functioning of the NSS -- Chapter 5. Three pilot surveys conducted by NSS -- Chapter 6. Discussion on global survey practices. Chapter 7. Derivation of NSS design-based estimates of aggregates and ratios -- Chapter 8. Level of precision of key estimates as per the NSS -- Chapter 9. Strengthening the NSS database. |
| Record Nr. | UNINA-9911010527803321 |
Manna G. C
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biostatistics in Biopharmaceutical Research and Development : Clinical Trial Analysis, Volume 2 / / edited by Ding-Geng Chen
| Biostatistics in Biopharmaceutical Research and Development : Clinical Trial Analysis, Volume 2 / / edited by Ding-Geng Chen |
| Autore | Chen Ding-Geng |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (522 pages) |
| Disciplina | 519.5 |
| Soggetto topico |
Statistics
Biometry Clinical medicine - Research Sampling (Statistics) Public health Biostatistics Clinical Research Methodology of Data Collection and Processing Survey Methodology Public Health |
| ISBN |
9783031659379
9783031659362 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Statistical Challenges in the Analysis of Biomarker Data -- 2. Evaluating Predictive Accuracy of Prognostic Model for Censored Time-to-Event Data Analysis in Clinical Trials -- Statistical Methods for Accommodating Immortal Time: A Selective Review and Comparison -- Variable selection for partially functional additive Cox Model with interval-censored failure time data -- A Bayesian proportional hazards model to predict patient recruitment in multicenter clinical trials -- GET MORE INFORMATION FROM RECURRENT EVENTS DATA -- Introduction to Patient Preference Studies -- Machine Learning for Precision Medicine and Humanized AI for Future Healthcare -- The Statistical Evaluation of Surrogate Endpoints in Clinical Trials -- Treatment Effect Estimation Using Data from Observational and Non-Randomized Studies -- Methods for Comparing Two Treatments for a Dichotomous Outcome for a Two-Period Design with Treatment Switching of Control Group Period 1 Non-Responders -- Regression-based estimation of optimal adaptive treatment strategies: Key methods -- Vaccine Disease-Prevention Efficacy Studies: Traditional Approaches and New Frontiers -- Covariate Adjustment in Analyzing Randomized Clinical Trials: Approaches, Software, and Application -- Joint correlated responses and feedback effect with time-dependent covariates -- Distributions and Their Approximations for P-Values. |
| Record Nr. | UNINA-9910919809503321 |
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Chen Ding-Geng
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biostatistics in Biopharmaceutical Research and Development : Clinical Trial Design, Volume 1 / / edited by Ding-Geng Chen
| Biostatistics in Biopharmaceutical Research and Development : Clinical Trial Design, Volume 1 / / edited by Ding-Geng Chen |
| Autore | Chen Ding-Geng |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (355 pages) |
| Disciplina | 570.15195 |
| Soggetto topico |
Biometry
Clinical medicine - Research Public health Sampling (Statistics) Data mining Biostatistics Clinical Research Public Health Survey Methodology Data Mining and Knowledge Discovery |
| ISBN |
9783031659485
9783031659478 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bias and Randomization in Clinical Trials: 1980s – 2020s – 2060s -- The Markov Model for Survival Trials at 35 Years-Old -- Absolute Power Corrupts Absolutely: A Review of the Use of Unconditional Probabilities in the Planning of Clinical Trials -- Design of Clinical Trials with the Desirability of Outcome Ranking Methodology -- Benefit:Risk Assessments during Clinical Trials: A Prediction Approach Using the Desirability of Outcome Ranking (DOOR) -- The Power of Integration: How the 2-in-1 Clinical Trial Design is Changing the Future of Drug Development -- A Unified Bayesian Decision Rule-Based Approach for Bayesian Design of Clinical Trials Using Historical Data -- Group Sequential Design Under Non-proportional Hazards: Methodologies and Examples -- Multiple Testing in Group Sequential Design -- Plan per-protocol (PP) causal inference analysis addressing intercurrent events following the targeted learning roadmap -- Maximum Tolerated Imbalance Randomization: Theory and Practice -- Response-adaptive randomization designs based on optimal allocation proportion. |
| Record Nr. | UNINA-9910919814303321 |
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Chen Ding-Geng
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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How Data Quality Affects our Understanding of the Earnings Distribution / / by Reza Che Daniels
| How Data Quality Affects our Understanding of the Earnings Distribution / / by Reza Che Daniels |
| Autore | Daniels Reza Che |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | 2022 |
| Descrizione fisica | 1 online resource (xx, 114 pages) : illustrations (some color) |
| Disciplina | 519.5 |
| Soggetto topico |
Statistics
Sampling (Statistics) Quantitative research Statistical Theory and Methods Survey Methodology Data Analysis and Big Data Methodology of Data Collection and Processing African Economics African History |
| ISBN | 981-19-3639-0 |
| Classificazione | BUS069000HIS001000MAT029000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- A Framework for Investigating Micro Data Quality, with Application to South African Labour Market Household Surveys -- Questionnaire Design and Response Propensities for Labour Income Micro Data -- Univariate Multiple Imputation for Coarse Employee Income Data -- Conclusion: How Data Quality Affects our Understanding of the Earnings Distribution. |
| Record Nr. | UNINA-9910580174103321 |
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Daniels Reza Che
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| 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Quantitative Psychology : The 88th Annual Meeting of the Psychometric Society, Maryland, USA, 2023 / / by Marie Wiberg, Jee-Seon Kim ; edited by Heungsun Hwang, Hao Wu, Tracy Sweet
| Quantitative Psychology : The 88th Annual Meeting of the Psychometric Society, Maryland, USA, 2023 / / by Marie Wiberg, Jee-Seon Kim ; edited by Heungsun Hwang, Hao Wu, Tracy Sweet |
| Autore | Wiberg Marie |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (385 pages) |
| Disciplina | 519.5 |
| Altri autori (Persone) |
KimJee-Seon
HwangHeungsun WuHao SweetTracy |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Social sciences - Statistical methods Sampling (Statistics) Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Survey Methodology |
| ISBN | 9783031555480 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Repeated measurement analysis for non-linear data in small samples -- Chapter 2. Examining the Measurement Invariance of the Chinese Short Grit Scale -- Chapter 3. Data Preprocessing Techniques using Machine Learning Algorithms in Large-scale Assessment -- Chapter 4. A two-stage approach to a latent variable mixed-effects location scale model -- Chapter 5. Sparse Bayesian joint modal estimation for item factor analysis -- Chapter 6. Investigating the impact of equating on measurement error using generalizability theory -- Chapter 7. Method Effects of Item Wording: MIRT Estimation Based on Equivalence Method -- Chapter 8. Item Response Theory Modeling with Response Times: Some Issue -- Chapter 9. Validity evidence for the Teach ECE classroom observation tool -- Chapter 10. Application of topic modeling techniques in meta-analysis studies -- Chapter 11. Validation of the Household Food Security Survey Module (HFSSM) using Factor Analysis and Rasch Modeling -- Chapter 12. Testing CDM local independence assumptions using nested model selection criteria -- Chapter 13. The Impact of Generating Model on Pre-knowledge Detection in CAT -- Chapter 14. Exploring Attenuation of Reliability in Categorical Subscore Reporting -- Chapter 15. Diagnosing skills and misconceptions with Bayesian Networks applied to diagnostic multiple-choice tests -- Chapter 16. Investigating variable selection techniques under missing data: a simulation study -- Chapter 17. Optimal Implementation of Propensity-Score Matching Methods: A Monte Carlo Study on Estimating Binary Treatment Effects on Binary Outcomes -- Chapter 18. Using machine/deep learning algorithms for the fixed effect prediction in non-linear Mixed Effects Models - the mixedML framework -- Chapter 19. Psychometric evaluation of Positive and Negative Symptom Scale (PANSS): Harmonizing Classical Item Response Theory with the Perspective from Network Approach -- Chapter 20. Fitting IRT Diffusion Model to complex cognition response times -- Chapter 21. Empirical evaluations for DIF detection methods -- Chapter 22. Fisher Information-Based Difficulty and Discrimination Measures in Binary IRT -- Chapter 23. Empirical comparisons among models in detecting extreme response styles -- Chapter 24. A Hierarchical Prior for Bayesian Variable Selection in Regression Model -- Chapter 25. Comparing Different Correlation Test Methods -- Chapter 26. Priors in Bayesian Estimation under the Graded Response Model -- Chapter 27. Information matrix test misspecification assessment in cognitive diagnostic models -- Chapter 28. Impact of Ignoring Rater Effects in Objective Structured Clinical Examinations -- Chapter 29. The Gumbel-Reverse Gumbel (GRG) Model for Binary Data: A New Asymmetric Item Response Model -- Chapter 30. Nonparametric estimation of the risk and odds ratio in rare events meta analysis with arm based and contrast based approaches -- Chapter 31. Differential Step Functioning with Scale Purification for Polytomous Items -- Chapter 32. Comparing maximum likelihood and MCMC estimation of the multivariate social relations model -- Chapter 33. Using Mantel-Haenszel for Detecting Testlet Effects: Testing it All at Once -- Chapter 34. Identifiability Conditions in Cognitive Diagnosis:Implications for Q-Matrix Estimation Algorithms -- Chapter 35. Psychometric Perspectives on Modeling and Assessing Synergies -- Chapter 36. Global validity of assessments: Location and currency -- Chapter 37. Gaussian graphical model for evaluating local item dependency in response times -- Chapter 38. Assessment Engineering Meets Generative AI: Unlocking New Opportunities for Digital Assessment -- Chapter 39. Bayesian Mixture Multilevel Vector Autoregressive (B-MMVAR) Modeling -- Chapter 40. Enhancing Learning and Assessment: Exploring the Potential of Performance Factor Analysis in attribute-oriented performance and difficulty parameters estimation -- Chapter 41. DIF Detection in a Response Time Measure: An LRT Method -- Chapter42. Nonparametric Estimation of CATE with Cluster-Robust Confidence Bands -- Chapter 43. A Causal Mediation Framework for Investigating Treatment Effects in Longitudinal Studies -- Chapter 44. Are we playing the same game: Translating fairness content -- Chapter 45. Revisiting the 1PL-AG item response model: Bayesian estimation and application -- Chapter 46. Maximum Likelihood Estimation using a Possibly Misspecified Parameter Redundant Model -- Chapter 47. Comparing non-parametric estimations of treatment effect heterogeneity in the context of clustered data -- Chapter 48. Extreme and Midpoint Response Styles: Two Sides of the Same Coin?- Chapter 49. A family of discrete kernels for presmoothing -- Chapter 50. The deconstruction of measurement invariance (and DIF) -- Chapter 51. Efficient additive Gaussian process models for large-scale balanced multi-level data -- Chapter 52. An Investigation of Missing Data Analytical Methods in Longitudinal Research: Traditional and Machine Learning Approaches -- Chapter 53. Test Analysis Method using Piecewise Linear ICCs -- Chapter 54. Relationship among measurement invariance, differential item functioning andmean comparison -- Chapter 55. Generative Distractor Modeling with Generative AI -- Chapter 56. Q-matrix identification using text classification -- Chapter 57. The Nonparametric Item Selection Method for Multiple-Choice Items in CD-CAT. |
| Record Nr. | UNINA-9910866574403321 |
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Wiberg Marie
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Randomized Response Techniques : Certain Thought-Provoking Aspects / / by Arijit Chaudhuri, Sanghamitra Pal, Dipika Patra
| Randomized Response Techniques : Certain Thought-Provoking Aspects / / by Arijit Chaudhuri, Sanghamitra Pal, Dipika Patra |
| Autore | Chaudhuri Arijit <1940-> |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (xviii, 190 pages) : illustrations |
| Disciplina | 635 |
| Soggetto topico |
Sampling (Statistics)
Computer science - Mathematics Mathematical statistics Data protection Survey Methodology Probability and Statistics in Computer Science Data and Information Security |
| ISBN |
9789819996698
9819996694 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Genesis, background and the need for Randomized Response Techniques (RRT) -- Reviews of background material on RRT -- How to use Randomized Response survey data obtained by a specific procedure to judge its efficiency relative to a possible rival -- Fixing the size of a varying probability sample in a Direct and a Randomized Response survey -- Likelihood approach and its ramifications -- Optional Randomized Response Technique (ORRT) -- Protection of Privacy -- Variation from classical data generating procedures by repeated drawing -- Other Topics beyond Chaudhuri (2011) and Chaudhuri and Christofides (2013) -- Topics covered in the literature subsequent to Chaudhuri (2011) -- Alternatives to RRT in studying sensitive and stigmatizing issues -- An epilogue. |
| Record Nr. | UNINA-9910847073403321 |
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Chaudhuri Arijit <1940->
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sampling Designs Dependent on Sample Parameters of Auxiliary Variables / / by Janusz L. Wywiał
| Sampling Designs Dependent on Sample Parameters of Auxiliary Variables / / by Janusz L. Wywiał |
| Autore | Wywiał Janusz |
| Edizione | [2nd ed. 2021.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (113 pages) |
| Disciplina | 519.52 |
| Collana | SpringerBriefs in Statistics |
| Soggetto topico |
Statistics
Sampling (Statistics) Social sciences - Statistical methods Statistical Theory and Methods Survey Methodology Methodology of Data Collection and Processing Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
| ISBN | 3-662-63413-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction and Basic Sampling Strategies -- Sampling Designs Dependent on Sample Moments of Auxiliary Variables -- Sampling Designs Based on Order Statistics of Auxiliary Variable -- Simulation Analysis of the Efficiency of the Strategies -- Sampling Designs dependent on a Continuous Auxiliary Variable. |
| Record Nr. | UNINA-9910495188603321 |
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Wywiał Janusz
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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