close
1.

電子ブック
ＥＢ
1. Text Analytics : Advances and Challenges. 1st ed. 2020
edited by Domenica Fioredistella Iezzi, Damon Mayaffre, Michelangelo Misuraca
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/10.1007/978-3-030-52680-1
所蔵情報: loading…
目次情報: 続きを見る
PART - 1 :Techniques, Methods and Models
Chapter 1 - Text Analytics: present, past, and future (Domenica Fioredistella Iezzi, Livia Celardo)
Chapter 2 - Unsupervised analytic strategies to explore large document collections (Michelangelo Misuraca and Maria Spano)
Chapter 3 - Studying narrative flows by Text Analysis e Network Text Analysis (Cristiano Felaco)
Chapter 4 - Key passages : from statistics to deep learning (Laurent Vanni, Marco Corneli, Dominique Longree, Damon Mayaffre and Frederic Precioso)
Chapter 5 - Concentration indices for dialogue dominance phenomena in TV series: the case of the Big Bang Theory (Andrea Fronzetti Colladon and Maurizio Naldi).-Chapter 6 - A conversation analysis of interactions in personal finance forums (Maurizio Naldi)
PART - 2 :Dictionaries and specific languages
Chapter 7 - Big Corpora and Text Clustering: the Italian accounting jurisdiction case (Domenica Fioredistella Iezzi, Rosamaria Berté)
Chapter 8 - Lexicometric paradoxes of frequency: Comparing VoBIS and NVdB (Luisa Revelli)
Chapter 9 - Emotions and dense words in emotional text analysis: An invariant or a contextual relationship? (Nadia Battisti, Francesca Dolcetti).-Chapter 10 – Text Mining of Public Administration documents: preliminary results on judgements (Romano Maria Francesca, Baldassarini Antonella, Pavone Pasquale)
Chapter 11 - Using the First Axis of a Correspondence Analysis as an Analytic Tool (Bénédicte Pincemin, Alexei Lavrentiev and Céline Guillot-Barbance)
Chapter 12 - Discursive Functions of French Modal Forms: What can Correspondence Analysis tell us about Genre and Diachronic Variation? (Corinne Rossari, Ljiljana Dolamic, Annalena Hütsch, Claudia Ricci, Dennis Wandel)
PART - 3 :Multilingual Text Analysis
Chapter 13 - How to think about finding a sign for a multilingual and multimodal French written French sign language platform? (Cédric Moreau)
Chapter 14 - Corpus in “natural” language vs “translation” language: LBC corpora, a tool for bilingual lexicographic writing (Annick Farina, Riccardo Billero)
Chapter 15 - The conditional perfect, a quantitative analysis in English-French comparable-parallel corpora (Daniel Henkel)
Chapter 16 - Repeated and anaphoric segments applied to trilingual knowledge extraction (Lionel Shen)
Chapter 17 - Looking for topics: a brief review (Ludovic Lebart)
PART - 4 :Applications
Chapter 18 - Where are the Social Sciences going to? The Case of the EU-Funded SSH Research Projects (Matteo Gerli)
Chapter 19 - Topic modeling of Twitter conversations: the case of the National University of Colombia (Eliana Sanandres)
Chapter 20 - Analysing occupational safety culture through mass media monitoring (Livia Celardo, Rita Vallerotonda, Daniele De Santis, Claudio Scarici, Antonio Leva)
Chapter 21 – What volunteers do? A textual analysis of voluntary activities in the Italian context (Francesco Santelli, Giancarlo Ragozini, Marco Musella)
Chapter 22 - Free text analysis in electronic clinical documentation (Antonella Bitetto, Luigi Bollani)
Chapter 23 - Educational culture and job market: A text mining approach (Barbara Cordella, Francesca Greco, Paolo Meoli, Vittorio Palermo & Massimo Grasso)
PART - 1 :Techniques, Methods and Models
Chapter 1 - Text Analytics: present, past, and future (Domenica Fioredistella Iezzi, Livia Celardo)
Chapter 2 - Unsupervised analytic strategies to explore large document collections (Michelangelo Misuraca and Maria Spano)
2.

電子ブック
ＥＢ
2. An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch. 1st ed. 2020
by Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz
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/10.1007/978-3-030-48997-7
所蔵情報: loading…
目次情報: 続きを見る
Preface
1 Introduction
2 Introduction to R
3 Databases in R
4 Visualization
5 Data Analysis with R
R Packages and Funtions
Preface
1 Introduction
2 Introduction to R
3.

電子ブック
ＥＢ
3. Time Series in Economics and Finance. 1st ed. 2020
by Tomas Cipra
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-46347-2
所蔵情報: loading…
目次情報: 続きを見る
1. Introduction
I. Subject of Time Series
2. Random Processes
II. Decomposition of Economic Time Series
3. Trend
4. Seasonality and Periodicity
5. Residual Component
III. Autocorrelation Methods for Univariate Time Series
6. Box-Jenkins Methodology
7. Autocorrelation Methods in Regression Models
IV. Financial Time Series
8. Volatility of Financial Time Series
9. Other Methods for Financial Time Series
10. Models of Development of Financial Assets
11. Value at Risk
V. Multivariate Time Series
12. Methods for Multivariate Time Series
13. Multivariate Volatility Modeling
14. State Space Models of Time Series
References
Index
1. Introduction
I. Subject of Time Series
2. Random Processes
4.

電子ブック
ＥＢ
4. Retirement Income Recipes in R : From Ruin Probabilities to Intelligent Drawdowns. 1st ed. 2020
by Moshe Arye Milevsky
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/10.1007/978-3-030-51434-1
所蔵情報: loading…
目次情報: 続きを見る
1 Setting Expectations and Deviations
2 Loading and Getting to Know R
3 Coding the (Simple) Financial Life-cycle Model
4 Data in R: The Family Balance Sheet
5 Portfolio Longevity: Deterministic & Stochastic
6 Modeling the Risk of Sequence-of-Returns
7 Modeling Human Longevity and Life Tables
8 Life & Death in Continuous Time: Gompertz 101
9 The Lifetime Ruin Probability (LRP)
10 Life Annuities: From Immediate to Deferred
11 Intelligent Drawdown Rates
12 Pensionization: From Benefits to Utility
13 Biological (and other) Ages
14 Exotic Annuities for Longevity Risk
15 Very Last Thoughts
Glossary of User Defined R-Functions
1 Setting Expectations and Deviations
2 Loading and Getting to Know R
3 Coding the (Simple) Financial Life-cycle Model
5.

電子ブック
ＥＢ
5. Statistical Methods and Applications in Forestry and Environmental Sciences. 1st ed. 2020
edited by Girish Chandra, Raman Nautiyal, Hukum Chandra
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: Forum for Interdisciplinary Mathematics ;
オンライン: https://doi.org/10.1007/978-981-15-1476-0
所蔵情報: loading…
目次情報: 続きを見る
Chapter 1. Measurement, Data and Statistics: A Historical Voyage in Indian Forestry
Chapter 2. National Forest Inventory in India: Developments Towards a New Design to Meet Emerging Challenges
Chapter 3. Internet of Things in Forestry and Environmental Sciences
Chapter 4. Inverse Adaptive Stratified Random Sampling
Chapter 5. Improved Nonparametric Estimation Using Partially Ordered Sets
Chapter 6. Bayesian Inference of a Finite Population Mean Under Length-Biased Sampling
Chapter 7. Calibration Approach Based Estimators for Finite Population Mean in Multistage Stratified Random Sampling
Chapter 8. A Joint Calibration Estimator of Population Total Under Entropy Distance Function Based on Dual Frame Surveys
Chapter 9. Fusing Classical Theories and Biomechanics Into Forest Modelling
Chapter 10. Statistical Multivariate Methods for Decision Making in Classification of Water Quality Data and Management of Water Resources
Chapter 11. Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry
Chapter 12. Ridge Regression Model for the Estimation of Total Carbon Sequestered by Forest Species
Chapter 13. Some Investigations on Designs for Mixture Experiments with Process Variable
Chapter 14. Development in Copula Applications in Forestry and Environmental Sciences
Chapter 15. Forest Cover Type Prediction Using Model Averaging
Chapter 16. Small Area Estimation for Skewed Semicontinuous Spatially Structured Responses
Chapter 17. Small Area Estimation for Total Basal Cover in the State of Maharashtra, India
Chapter 18. Estimation of Abundance of Asiatic Elephants in Elephant Reserves of Kerala State, India
Chapter 19. Exploration of Metagenomics Tools for Analysis of Forest Soil Microbial Diversity and its Annotation
Chapter 20. Integrated Survey Scheme to Capture Forestry Related Data in Bangladesh: Beyond the Traditional Approach
Chapter 1. Measurement, Data and Statistics: A Historical Voyage in Indian Forestry
Chapter 2. National Forest Inventory in India: Developments Towards a New Design to Meet Emerging Challenges
Chapter 3. Internet of Things in Forestry and Environmental Sciences
6.

電子ブック
ＥＢ
6. Statistical Analysis of Operational Risk Data. 1st ed. 2020
by Giovanni De Luca, Danilo Carità, Francesco Martinelli
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/10.1007/978-3-030-42580-7
所蔵情報: loading…
目次情報: 続きを見る
1 The Operational Risk
2 Identification of the Risk Classes
3 Severity Analysis
4 Frequency Analysis
5 Convolution and Risk Class Aggregation
6 Conclusions
1 The Operational Risk
2 Identification of the Risk Classes
3 Severity Analysis
7.

電子ブック
ＥＢ
7. 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
所蔵情報: loading…
目次情報: 続きを見る
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
8.

電子ブック
ＥＢ
8. Recent Developments in Multivariate and Random Matrix Analysis : Festschrift in Honour of Dietrich von Rosen. 1st ed. 2020
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
所蔵情報: loading…
9.

電子ブック
ＥＢ
9. Audit Analytics : Data Science for the Accounting Profession. 1st ed. 2020
by J. Christopher Westland
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/10.1007/978-3-030-49091-1
所蔵情報: loading…
目次情報: 続きを見る
1. Fundamentals of Auditing Financial Statements
2. Foundations of Audit Analytics
3. Analysis of Accounting Transactions
4. Risk Assessment and Planning
5. Analytical Review: Technical Analysis
6. Analytical Review: Intelligence Scanning
7. Design of Audit Programs
8. Interim Compliance Tests
9. Substantive Tests
10. Sarbanes-Oxley Engagements
11. Blockchains, Cybercrime and Forensics
12. Special Engagements: Forecasts and Valuation
13. Simulated Transactions for Auditing Service Organizations
1. Fundamentals of Auditing Financial Statements
2. Foundations of Audit Analytics
3. Analysis of Accounting Transactions
10.

電子ブック
ＥＢ
10. Singular Spectrum Analysis for Time Series. 2nd ed. 2020
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
所蔵情報: loading…
目次情報: 続きを見る
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