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1. Quantitative Psychology : 84th Annual Meeting of the Psychometric Society, Santiago, Chile, 2019. 1st ed. 2020
edited by Marie Wiberg, Dylan Molenaar, Jorge González, Ulf Böckenholt, Jee-Seon Kim
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 322
オンライン: https://doi.org/10.1007/978-3-030-43469-4
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Chapter 1: Stories Of Successful Careers In Psychometrics And What We Can Learn From Them
Chapter 2: Developing A Concept Map For Rasch Measurement Theory
Chapter 3: Person Parameter Estimation For IRT Models Of Forced-Choice Data: Merits And Perils Of Pseudo-Likelihood Approaches
Chapter 4: An Extended Item Response Tree Model For Wording Effects In Mixed-Format Scales
Chapter 5: The Four-Parameter Normal Ogive Model With Response Time
Chapter 6: A Bayesian Graphical And Probabilistic Proposal For Bias Analysis
Chapter 7: Comparing Hyperprior Distributions To Estimate Variance Components For Interrater Reliability Coefficients
Chapter 8: A Hierarchical Joint Model For Bounded Response Time And Response Accuracy
Chapter 9: Selecting A Presmoothing Model In Kernel Equating
Chapter 10: Practical Implementation Of Test Equating Using R
Chapter 11: Predictive Validity Under Partial Observability
Chapter 12: Multiple-Group Propensity Score Inverse Weights Trimming And Its Impact On Covariate Balance And On Bias In Treatment Effect Estimation
Chapter 13: Procrustes Penalty Function For Matching Matrices To Targets With Its Applications
Chapter 14: Factor Score Estimation From The Perspective Of Item Response Theory
Chapter 15: On The Precision Matrix In The Semi-High Dimensional Settings
Chapter 16: The Performance Of The Modified Continuous A-Stratification Indices In Computerized Adaptive Testing
Chapter 17: Constant CSEM Achieved Through Scale Transformation And Adaptive Testing
Chapter 18: Synergized Bootstrapping: The Whole Is Faster Than The Sum Of Its Parts
Chapter 19: Synchronized Time Profile With Applications To Nearest Neighbor Classification
Chapter 20: Topic Modeling Of Constructed-Response Answers On Social Study Assessments
Chapter 21: Impact Of Measurement Bias On Diagnostic Clinical Measures
Chapter 22: Reliability And Structure Validity Of A Teacher Pedagogical Competencies Scale: A Case Study From Chile
Chapter 23: Psychoperiscope
Chapter 24: Modeling Household Food Insecurity With A Polytomous Rasch Model
Chapter 25: Classical Perspectives Of Controlling Acquiescence With Balanced Scales
Chapter 26: Testing Heterogeneity In Inter-Rater Reliability
Chapter 27: An Application Of Regularized Extended Redundancy Analysis Via Generalized Redundancy Analysis Via Generalized Estimating Equations To The Study Of Co-Occurring Substance Use Among US Adults
Chapter 28: Permutation Test Of Regression Coefficients In Social Network Data Analysis
Index
Chapter 1: Stories Of Successful Careers In Psychometrics And What We Can Learn From Them
Chapter 2: Developing A Concept Map For Rasch Measurement Theory
Chapter 3: Person Parameter Estimation For IRT Models Of Forced-Choice Data: Merits And Perils Of Pseudo-Likelihood Approaches
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2. Classification and Data Analysis : Theory and Applications. 1st ed. 2020
edited by Krzysztof Jajuga, Jacek Batóg, Marek Walesiak
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: https://doi.org/10.1007/978-3-030-52348-0
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Preface
Methods
Comparison of proposals of transformation of nominants into stimulants on the example of financial ratios of companies listed on the Warsaw Stock Exchange
Silhouette index as clustering evaluation tool
The Role of Discretization of Continuous Variables in SocioEconomic Classification Models on the Example of Logistic Regression Models and Artificial Neural Networks
Intuitionistic fuzzy synthetic measure for ordinal data
Improving Classification Accuracy of Ensemble Learning for Symbolic Data Trough Neural Networks’ Feature Extraction
Applications in Finance
Inequality restricted least squares (IRLS) model of real estate prices
Application of Hill estimator to assess extreme risks in the metals market
Segmentation of Enterprises on the Basis of Their Duration Using Survival Trees. Results of an Analysis for Legal Persons and Organizational Entities without Legal Personality in the Łódzkie Voivodship
Corporate Bankruptcy Prediction with the Use of the Logit Leaf Model
The impact of longevity on a valuation of long-term investments returns: the case of selected European countries
Applications in Economics.-Sustainable Development and Green Economy in the European Union Countries – statistical analysis
The review of indicators of data quality in intra-Community trade in goods. The choice of an indicator and its effect on the ranking of countries
Development of ICT in Poland in Comparison with the European Union Countries – Multivariate Statistical Analysis
Sensitivity Analysis in Causal Mediation Effects for TAM Model
Applications in Social Problems
Prentice-Williams-Peterson models in the assessment of the influence of the characteristics of the unemployed on the intensity of subsequent registrations in the labour office
Right-skewed distribution of features and the identification problem of the financial autonomy of local administrative units
Multi-Criteria Rankings with Interdependent Criteria: Case of EU Countries on Their Way to Healthy Lives and Well-Being
The comparison of income distributions for women and men in the European Union countries
Common stochastic mortality trends for multiple European populations
Impact of the selected factors on the men and women wages in Poland in 2014. The conjoint analysis application
Preface
Methods
Comparison of proposals of transformation of nominants into stimulants on the example of financial ratios of companies listed on the Warsaw Stock Exchange
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3. Applied Multiple Imputation : Advantages, Pitfalls, New Developments and Applications in R. 1st ed. 2020
by Kristian Kleinke, Jost Reinecke, Daniel Salfrán, Martin Spiess
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Statistics for Social and Behavioral Sciences ;
オンライン: https://doi.org/10.1007/978-3-030-38164-6
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1 Introduction and Basic Concepts
2 Missing Data Mechanism and Ignorability
3 Missing Data Methods
4 Multiple Imputation: Theory
5 Multiple Imputation: Application
6 Multiple Imputation: New Developments
A Appendices
Index
1 Introduction and Basic Concepts
2 Missing Data Mechanism and Ignorability
3 Missing Data Methods
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4. Random Forests with R. 1st ed. 2020
by Robin Genuer, Jean-Michel Poggi
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Use R! ;
オンライン: https://doi.org/10.1007/978-3-030-56485-8
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Introduction
CART trees
Random forests
Variable importance
Variable selection
References
Introduction
CART trees
Random forests
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5. Contributions on Theory of Mathematical Statistics. 1st ed. 2020
by Kei Takeuchi
出版情報: Tokyo : Springer Japan : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-4-431-55239-0
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Part I Statistical Prediction
1 Theory of Statistical Prediction
Part II Unbiased Estimation
2 Unbiased Estimation in Case of the Class of Distributions of Finite Rank
3 Some Theorems on Invariant Estimators of Location
Part III Robust Estimation
4 Robust Estimation and Robust Parameter
5 Robust Estimation of Location in the Case of Measurement of Physical Quantity
6 A Uniformly Asymptotically Efficient Estimator of a Location Parameter
Part IV Randomization
7 Theory of Randomized Designs
8 Some Remarks on General Theory for Unbiased Estimation of a Real Parameter of a Finite Population
Part V Tests of Normality
9 The Studentized Empirical Characteristic Function and Its Application to Test for the Shape of Distribution
10 Tests of Univariate Normality
11 The Tests for Multivariate Normality
Part VI Model Selection
12 On the Problem of Model Selection Based on the Data.-Part VII Asymptotic Approximation
13 On Sum of 0-1 Random Variables (I. Univariate Case)
14 On Sum of 0-1 Random Variables (II. Multivariate Case)
15 Algebraic Properties and Validity of Univariate and Multivariate Cornish-Fisher Expansion
Part I Statistical Prediction
1 Theory of Statistical Prediction
Part II Unbiased Estimation
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6. Person-Centered Methods : Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables. 2nd ed. 2020
by Mark Stemmler
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: SpringerBriefs in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-49421-6
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1. Introducing Person-Centered Methods
2. CFA Software
3. Significance Testing in CFA
4. CFA and Log-Linear Modeling
5. Longitudinal CFA
6. Other Person-Centered Methods Serving as Complimentary Tools for CFA
7. CFA and its Derivatives
Glossary
Index
1. Introducing Person-Centered Methods
2. CFA Software
3. Significance Testing in CFA
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7. Sampling Theory and Practice. 1st ed. 2020
by Changbao Wu, Mary E. Thompson
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: ICSA Book Series in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-44246-0
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Part I Basic Concepts and Methods in Survey Sampling
Chapter 1 Basic Concepts in Survey Sampling
Chapter 2 Simple Single-Stage Sampling Methods
Chapter 3 Stratified Sampling and Cluster Sampling
Chapter 4 General Theory and Methods of Unequal Probability Sampling
Chapter 5 Model-Based Prediction and Model-Assisted Estimation
Part II Advanced Topics on Analysis of Probability Survey Samples
Chapter 6 Calibration Weighting and Estimation
Chapter 7 Regression Analysis and Estimating Equations
Chapter 8 Empirical Likelihood Methods
Chapter 9 Methods for Handling Missing Data
Chapter 10 Resampling and Replication Methods
Chapter 11 Bayesian Empirical Likelihood Methods
Part III Practical Issues and Special Topics in Survey Sampling
Chapter 12 Area Frame Household Surveys
Chapter 13 Telephone and Web Surveys
Chapter 14 Natural Resource Inventory Surveys
Chapter 15 Adaptive and Network Surveys
Chapter 16 Dual Frame and Multiple Frame Surveys
Chapter 17 Non-Probability Survey Samples
References
Appendix
Index
Part I Basic Concepts and Methods in Survey Sampling
Chapter 1 Basic Concepts in Survey Sampling
Chapter 2 Simple Single-Stage Sampling Methods
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8. Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada. 1st ed. 2020
edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: Behaviormetrics: Quantitative Approaches to Human Behavior ; 5
オンライン: https://doi.org/10.1007/978-981-15-2700-5
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Co-clustering for object by variable data matrices
How to use the Hermitian Form Model for asymmetric MDS
Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios
Comparing partitions of the Petersen graph
Minkowski distances and standardisation for clustering and classification on high dimensional data
Co-clustering for object by variable data matrices
How to use the Hermitian Form Model for asymmetric MDS
Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios
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9. Statistical Data Analysis and Entropy. 1st ed. 2020
by Nobuoki Eshima
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: Behaviormetrics: Quantitative Approaches to Human Behavior ; 3
オンライン: https://doi.org/10.1007/978-981-15-2552-0
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Entropy and basic statistics
Analysis of the association in two-way contingency tables
Analysis of the association in multiway contingency tables
Analysis of continuous variables
Entropy and basic statistics
Analysis of the association in two-way contingency tables
Analysis of the association in multiway contingency tables
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10. Matrix-Based Introduction to Multivariate Data Analysis. 2nd ed. 2020
by Kohei Adachi
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-981-15-4103-2
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Elementary matrix operations
Intravariable statistics
Inter-variable statistics
Regression analysis
Principal component analysis
Principal component
Elementary matrix operations
Intravariable statistics
Inter-variable statistics