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1.

電子ブック

EB
by James E. Sallis, Geir Gripsrud, Ulf Henning Olsson, Ragnhild Silkoset
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Classroom Companion: Business ;
オンライン: https://doi.org/10.1007/978-3-030-84421-9
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Preface
Part 1: Designing the Study
Chapter 1: Research Methods and Philosophy of Science
Chapter 2: The Research Process and Problem Formulation
Chapter 3: Research Design
Part 2: Data Collection
Chapter 4: Secondary Data and Observation
Chapter 5: Qualitative Methods
Chapter 6: Questionnaire Surveys
Chapter 7: Sampling
Part 3: Quantitative Data Analysis
Chapter 8: Simple Analysis Techniques
Chapter 9: Hypothesis Testing
Chapter10: Regression Analysis
Chapter 11: Cluster Analysis and Segmentation
Chapter 12: Factor Analysis
Part 4: Reporting
Chapter 13: Reporting Findings
Index
Preface
Part 1: Designing the Study
Chapter 1: Research Methods and Philosophy of Science
2.

電子ブック

EB
edited by Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 375
オンライン: https://doi.org/10.1007/978-3-030-86133-9
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1. Minimum Profile Hellinger Distance Estimation for Semiparametric Simple Linear Regression Model
2. A Spatiotemporal Investigation of the Cod Stock in the Northern Gulf of St-Lawrence
3. Modeling Obesity Rate with Spatial Auto-correlation: A Case Study
4. Bayesian Inference for Inverse Gaussian Data with Emphasis on the Coefficient of Variation
5. Estimation and Testing of a Common Coefficient of Variation from Inverse Gaussian Distributions
6. A Markov Model of Polygenic Inheritance
7. Bayes Linear Emulation of Simulated Crop Yield
1. Minimum Profile Hellinger Distance Estimation for Semiparametric Simple Linear Regression Model
2. A Spatiotemporal Investigation of the Cod Stock in the Northern Gulf of St-Lawrence
3. Modeling Obesity Rate with Spatial Auto-correlation: A Case Study
3.

電子ブック

EB
edited by Jin Cheng, Xu Dinghua, Osamu Saeki, Tomoyuki Shirai
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2021
シリーズ名: Mathematics for Industry ; 35
オンライン: https://doi.org/10.1007/978-981-16-5576-0
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A Brief Review of Some Swarming Models using Stochastic Differential Equations
Copula-based estimation of Value at Risk for the portfolio problem
An Overview of Exact Solution Methods for Guaranteed Minimum Death Benefit Options in Variable Annuities
Determinantal reinforcement learning with techniques to avoid poor local optima
Surface Denoising based on Normal Filtering in a Robust Statistics Framework
Mathematical Modeling and Inverse Problem Approaches for Functional
Clothing Design based on Thermal Mechanism
Unique continuation on a sphere for Helmholtz equation and its numerical treatments
Notes on Backward Stochastic Differential Equations for Computing XVA
A Brief Review of Some Swarming Models using Stochastic Differential Equations
Copula-based estimation of Value at Risk for the portfolio problem
An Overview of Exact Solution Methods for Guaranteed Minimum Death Benefit Options in Variable Annuities
4.

電子ブック

EB
by Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, Brian D. Marx
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-662-63882-8
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Introduction
Regression Models
The Classical Linear Model
Extensions of the Classical Linear Model
Generalized Linear Models
Categorical Regression Models
Mixed Models
Nonparametric Regression
Structured Additive Regression
Distributional Regression Models
Introduction
Regression Models
The Classical Linear Model
5.

電子ブック

EB
edited by Krzysztof Jajuga, Krzysztof Najman, Marek Walesiak
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: https://doi.org/10.1007/978-3-030-75190-6
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Part 1: Methodology
Chapter 1 - Evaluation of Two-Step Spectral Clustering Algorithm for Large Untypical Data Sets (Andrzej Dudek)
Chapter 2 - Determining the Number of Groups in Cluster Analysis Using Classical Indexes and Stability Measures – Comparison of Results (Dorota Rozmus)
Chapter 3 - Identification of the Words Most Frequently Used by Different Generations of Twitter Users (Agata Majkowska, Kamila Migdał-Najman, Krzysztof Najman and Katarzyna Raca)
Chapter 4 - Classification Algorithms Applications for Information Security on the Internet: a Review (Michał Bryś)
Chapter 5 - Outlier Detection with the Use of Isolation Forests (Krzysztof Najman and Krystian Zieliński)
Part 2: Application in Finance
Chapter 6 - Propositions of Transformations of Asymmetrical Nominants into Stimulants on the Example of Chosen Financial Ratios ( Barbara Batóg and Katarzyna Wawrzyniak)
Chapter 7 - Gini Regression in The Capital Investment Risk Assessment – Sensitivity Risk Measures in Portfolio Analysis (Grażyna Trzpiot)
Part 3: Application in Economics
Chapter 8 - Enterprise Dark Data (Katarzyna Raca)
Chapter 9 - The Significance of Medical Science Issues in Research Papers Published in the Field of Economics (Urszula Cieraszewska, Monika Hamerska, Paweł Lula and Marcela Zembura)
Chapter 10 - Application of Duration Analysis Methods in the Study of the Exit of a Real Estate Sale Offer from the Offer Database System (Ewa Putek-Szeląg, Anna Gdakowicz)
Chapter 11 - Is Society Ready for Long-Term Investments? – Profiles of Electricity Users in Silesia (Sylwia Słupik and Joanna Trzęsiok)
Chapter 12 - The Use of the Spatial Taxonomic Measure of Development to Assess the Tourist Attractiveness of Districts of the Lesser Poland Province(Jacek Wolak)
Part 4: Application in Social Issues
Chapter 13 - Models of Competing Events in Assessing the Effects of the Transition of Unemployed People Between the States of Registration and De-registration (Beata Bieszk-Stolorz)
chapter 14 - Direct Adjusted Survival Probabilities in the Analysis of Finding a Job by the Unemployed Depending on Their Individual Characteristics(Wioletta Grzenda)
Chapter 15 - Europe 2020 Strategy – Objective Evaluation of Realization and Subjective Assessment by Seniors as Beneficiaries of Social Assumptions (Klaudia Przybysz, Agnieszka Stanimir and Marta Wasiak)
Chapter 16 - Do Seniors Get to the Disco by Bike or in a Taxi? – Classification of Seniors According to Their Preferred Means of Transport (Joanna Kos-Łabędowicz and Joanna Trzęsiok)
Part 5: Application with COVID-19 Data
Chapter 17 - The Impact of the COVID-19 Pandemic on the Economies of European Countries in the Period January-September 2020 Based on Economic Indicators (Ewelina Nojszewska and Agata Sielska)
Chapter 18 - Modelling the Risk of Foreign Divestment in the Visegrad Group Countries During the COVID-19 Pandemic (Marcin Salamaga)
Chapter 19 - Analysis of COVID-19 Dynamics in EU Countries Using the Dynamic Time Warping Method and ARIMA Models (Joanna Landmesser)
Part 1: Methodology
Chapter 1 - Evaluation of Two-Step Spectral Clustering Algorithm for Large Untypical Data Sets (Andrzej Dudek)
Chapter 2 - Determining the Number of Groups in Cluster Analysis Using Classical Indexes and Stability Measures – Comparison of Results (Dorota Rozmus)
6.

電子ブック

EB
by Nick Heard
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-030-82808-0
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Uncertainty and Decisions
Prior and Likelihood Representation
Graphical Modeling
Parametric Models
Computational Inference
Bayesian Software Packages
Model choice
Linear Models
Nonparametric Models
Nonparametric Regression
Clustering and Latent Factor Models
Conjugate Parametric Models
Uncertainty and Decisions
Prior and Likelihood Representation
Graphical Modeling
7.

電子ブック

EB
edited by Mehmet Çakırtaş, Mehmet Kemal Ozdemir
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Lecture Notes in Social Networks ;
オンライン: https://doi.org/10.1007/978-3-030-67044-3
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Chapter 1. Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis
Chapter 2. Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study
Chapter 3. Identifying Reliable Recommenders in Users’ Collaborating Filtering and Social Neighbourhoods
Chapter 4. Safe Travelling Period Recommendation to High Attack Risk European Destinations based on Past Attack Information
Chapter 5. Analyzing Cyber Influence Campaigns on YouTube using YouTubeTracker
Chapter 6. Blog Data Analytics Using Blogtrackers
Chapter 7. Using Social Media Surveillance in order to Enhance the Effectiveness of Crew Members in Search and Rescue Missions
Chapter 8. Visual Exploration and Debugging of Machine Learning Classification over Social Media Data
Chapter 9. Efficient and Flexible Compression of Very Sparse Networks of Big Data
Chapter 10. Weather Big Data Analytics: Seeking Motifs in Multivariate Weather Data
Chapter 11. Analysis of Link Prediction Algorithms in Hashtag Graphs
Chapter 1. Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis
Chapter 2. Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study
Chapter 3. Identifying Reliable Recommenders in Users’ Collaborating Filtering and Social Neighbourhoods
8.

電子ブック

EB
by Arilova A. Randrianasolo
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: SpringerBriefs in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-79032-5
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Introduction
1. Da Real MVP
2. A Tribe of Goats
3. The Myth of the Superteam
4. Hey Now, You're an All-Star...But Are You All-NBA?- 5. Small Ball in a Big Man's Game
6.Is the Clutch Gene Real
7. Offense Wins Games, But Does Defense Win Championships? - 8. Strategic Implications of the Findings in This Book
9. Debates the Future Work Should Consider
Introduction
1. Da Real MVP
2. A Tribe of Goats
9.

電子ブック

EB
by Wing Kam Liu, Zhengtao Gan, Mark Fleming
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-030-87832-0
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1-Introduction to Mechanistic Data Science
2-Multimodal Data Generation and Collection
3-Optimization and Regression
4-Extraction of Mechanistic Features
5-Knowledge-Driven Dimension Reduction and Reduced Order Surrogate Models
6-Deep Learning for Regression and Classification
7-System and Design
1-Introduction to Mechanistic Data Science
2-Multimodal Data Generation and Collection
3-Optimization and Regression
10.

電子ブック

EB
by Xiaomei Zhang, Guohong Cao
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: SpringerBriefs in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-89262-3
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Introduction
Related Work
Data Collection
Event Attendance Prediction
Performance Evaluations
Conclusions and Future Research Directions
Introduction
Related Work
Data Collection