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1.

電子ブック

EB
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
2.

電子ブック

EB
edited by Thomas Holgersson, Martin Singull
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-56773-6
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3.

電子ブック

EB
by Nina Golyandina, Anatoly Zhigljavsky
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020
シリーズ名: SpringerBriefs in Statistics ;
オンライン: https://doi.org/10.1007/978-3-662-62436-4
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1 Introduction
1.1 Overview of SSA methodology and the structure of the book
1.2 SSA and other techniques
1.3 Computer implementation of SSA
1.4 Historical and bibliographical remarks
1.5 Common symbols and acronyms
2 Basic SSA - 2.1 The main algorithm
2.2 Potential of Basic SSA
2.3 Models of time series and SSA objectives
2.4 Choice of parameters in Basic SSA
2.5 Some variations of Basic SSA
2.6 Multidimensional and multivariate extensions of SSA
3 SSA for forecasting, interpolation, filtering and estimation
3.1 SSA forecasting algorithms
3.2 LRR and associated characteristic polynomials
3.3 Recurrent forecasting as approximate continuation
3.4 Confidence bounds for the forecasts
3.5 Summary and recommendations on forecasting parameters
3.6 Case study: ‘Fortified wine’
3.7 Imputation of missing values
3.8 Subspace-based methods and estimation of signal parameters
3.9 SSA and filters
3.10 Multidimensional/Multivariate SSA
1 Introduction
1.1 Overview of SSA methodology and the structure of the book
1.2 SSA and other techniques
4.

電子ブック

EB
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
5.

電子ブック

EB
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
6.

電子ブック

EB
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
7.

電子ブック

EB
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
8.

電子ブック

EB
edited by Michele La Rocca, Brunero Liseo, Luigi Salmaso
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 339
オンライン: https://doi.org/10.1007/978-3-030-57306-5
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Preface
Portfolio optimisation via graphical least squares estimation (Saeed Aldahmani, Hongsheng Dai, Qiao-Zhen Zhang and Marialuisa Restaino)
Change of Measure Applications in Nonparametric Statistics (Mayer Alvo)
Choosing between weekly and monthly volatility drivers within a Double Asymmetric GARCH-MIDAS model (Alessandra Amendola, Vincenzo Candila and Giampiero M. Gallo)
Goodness-of-fit test for the baseline hazard rate (Anfriani, A. and Butucea, C. and Gerardin E. and Jeantheau, T. and Lecleire U.)
Permutation tests for multivariate stratified data: synchronized or unsynchronized permutations? (Rosa Arboretti, Eleonora Carrozzo and Luigi Salmaso)
An extension of the dgLARS method to high-dimensional relative risk regression models (Luigi Augugliaro, Ernst C. Wit and Angelo M. Mineo)
A kernel goodness-of-fit test for maximum likelihood density estimates of normal mixtures. (Dimitrios Bagkavos and Prakash N. Patil)- Robust estimation of sparse signal with unknown sparsity cluster value (Eduard Belitser, Nurzhan Nurushev, and Paulo Serra)
Test for sign effect in intertemporal choice experiments: a nonparametric solution (Stefano Bonnini and Isabel Maria Parra Oller)
Nonparametric first-order analysis of spatial and spatio-temporal point processes (M.I. Borrajo, I. Fuentes-Santos and W. González-Manteiga)
Bayesian nonparametric prediction with multi-sample data (Federico Camerlenghi, Antonio Lijoi and Igor Prünster)
Algorithm for Automatic Description of Historical Series of Forecast Error in Electrical Power Grid (Gaia Ceresa, Andrea Pitto, Diego Cirio and Nicolas Omont)
Linear wavelet estimation in regression with additive and multiplicative noise (Christophe Chesneau, Junke Kou and Fabien Navarro)
Speeding up algebraic-based sampling via permutations (Francesca Romana Crucinio and Roberto Fontana)
Obstacle Problems For Nonlocal Operators: A Brief Overview (Donatella Danielli, Arshak Petrosyan, and Camelia A. Pop)
Low and high resonance components restoration in multichannel data (Daniela De Canditiis and Italia De Feis)
Kernel circular deconvolution density estimation (Marco Di Marzio, Stefania Fensore, Agnese Panzera, Charles C. Taylor)
Asymptotic for Relative Frequency when Population is Driven by Arbitrary Unknown Evolution (Silvano Fiorin)
Semantic keywords clustering to optimize Text Ads campaigns (Pietro Fodra, Emmanuel Pasquet, Guillaume Mohr, Bruno Goutorbe, and Matthieu Cornec)
A Note on Robust Estimation of the Extremal Index (M. Ivette Gomes, Cristina Miranda and Manuela Souto de Miranda)
Multivariate permutation tests for ordered categorical data (Huiting Huang, Fortunato Pesarin, Rosa Arboretti, Riccardo Ceccato)
Smooth nonparametric survival analysis (Dimitrios Ioannides and Dimitrios Bagkavos)
Density estimation using multiscale local polynomial transforms (Maarten Jansen)
On Sensitivity of Metalearning: An Illustrative Study for Robust Regression (Jan Kalina)
Function-parametric empirical processes, projections and unitary operators (Estáte Khmaladze)
Rank-based Analysis of Multivariate Data in Factorial Designs and Its Implementation in R (Maximilian Kiefel and Arne C. Bathke)
Tests for Independence Involving Spherical Data (Pierre Lafaye de Micheaux, Simos Meintanis and Thomas Verdebout)
Interval-Wise Testing of Functional Data Defined on Two-dimensional Domains(Patrick B. Langthaler, Alessia Pini and Arne C. Bathke)
Assessing Data Support for the Simplifying Assumption in Bivariate Conditional Copulas (Evgeny Levi and Radu V. Craiu)
Semiparametric weighting estimations of a zero-inflated Poisson regression with missing in covariates (Lukusa, M.T. and Phoa, F.K.H.)
The Discrepancy Method for Extremal Index Estimation (Natalia Markovich)
Correction for optimisation bias in structured sparse high-dimensional variable selection (Bastien Marquis and Maarten Jansen)
United Statistical Algorithms and Data Science: An Introduction To The Principles (Subhadeep Mukhopadhyay)
The Halfspace Depth Characterization Problem (Stanislav Nagy)
A component multiplicative error model for realized volatility measures (Antonio Naimoli and Giuseppe Storti)
Asymptotically distribution-free goodness-of-fit tests for testing independence in contingency tables of large dimensions (Thuong T. M. Nguyen)
Incorporating model uncertainty in the construction of bootstrap prediction intervals for functional time series (Efstathios Paparoditis and Han Lin Shang)
Measuring and Estimating Overlap of Distributions: A comparison of approaches from various disciplines (Judith H. Parkinson and Arne C. Bathke)
Bootstrap confidence intervals for sequences of missing values in multivariate time series (Maria Lucia Parrella, Giuseppina Albano, Michele La Rocca and Cira Perna)
On Parametric Estimation of Distribution Tails (Igor Rodionov)
An empirical comparison of global and local functional depths (Carlo Sguera and Rosa E. Lillo)
AutoSpec: Detecting Exiguous Frequency Changes in Time Series (David S. Stoffer)
Bayesian quantile regression in differential equation models (Qianwen Tan and Subhashis Ghosal)
Predicting plant endemicity based on herbarium data: application to French data (Jessica Tressou, Thomas Haevermans and Liliane Bel)
Monte Carlo Permutation Tests for Assessing Spatial Dependence at Different Scales (Craig Wang and Reinhard Furrer)
Introduction to independent counterfactuals (Marcin Wolski)
The Potential for Nonparametric Joint Latent Class Modeling of Longitudinal and Time-to-Event Data (Ningshan Zhang and Jeffrey S. Simonoff)
To Rank or to Permute when Comparing an Ordinal Outcome Between Two Groups While Adjusting for a Covariate? (Georg Zimmermann)
Preface
Portfolio optimisation via graphical least squares estimation (Saeed Aldahmani, Hongsheng Dai, Qiao-Zhen Zhang and Marialuisa Restaino)
Change of Measure Applications in Nonparametric Statistics (Mayer Alvo)
9.

電子ブック

EB
by Li-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim, Takeshi Emura
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: JSS Research Series in Statistics ;
オンライン: https://doi.org/10.1007/978-981-15-4998-4
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Chapter 1 Overview of the book with data examples. -Chapter 2 Copula and Markov models
Chapter 3 Estimation, model diagnosis, and process control under the normal model
Chapter 4 Estimation under the normal mixture model for financial time series data
Chapter 5 Bayesian estimation under the t-distribution for financial time series data
Chapter 6 Control charts of mean and variance using copula Markov SPC and conditional distribution by copula
Chapter 7 Copula Markov models for count series with excess zeros
Chapter 1 Overview of the book with data examples. -Chapter 2 Copula and Markov models
Chapter 3 Estimation, model diagnosis, and process control under the normal model
Chapter 4 Estimation under the normal mixture model for financial time series data