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1. Research Methods and Data Analysis for Business Decisions : A Primer Using SPSS. 1st ed. 2021
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
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2. Business Analytics : Data Science for Business Problems. 1st ed. 2021
by Walter R. Paczkowski
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-030-87023-2
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1. Types of Business Problems
2. Data for Business Problems
3. Beginning Data Handling
4. Data Preprocessing
5. Data Visualization: The Basics
6. OLS Regression Basics
7. Time Series Basics
8. Statistical Tables
9. Advanced Data Handling
10. Advanced OLS
11. Logistic Regression
12. Classification
1. Types of Business Problems
2. Data for Business Problems
3. Beginning Data Handling
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3. Counting Statistics for Dependent Random Events : With a Focus on Finance. 1st ed. 2021
by Enrico Bernardi, Silvia Romagnoli
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-030-64250-1
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Preface
I The Main Ingredients
1 Clustering
2 Copula Function and C-volume
3 Combinatorics and Random Matrices: A Brief Review
II Mixing the Ingredients: A Recipe for a New Aggregation Algorithm
4 Counting a Random Event: Traditional Approach and New Perspectives
5 A New Copula-based Approach for Counting: The Distorted and the Limiting Case
6 Real Data Empirical Applications
Preface
I The Main Ingredients
1 Clustering
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4. Advances in Contemporary Statistics and Econometrics : Festschrift in Honor of Christine Thomas-Agnan. 1st ed. 2021
edited by Abdelaati Daouia, Anne Ruiz-Gazen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-030-73249-3
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5. Modern Quantification Theory : Joint Graphical Display, Biplots, and Alternatives. 1st ed. 2021
by Shizuhiko Nishisato, Eric J. Beh, Rosaria Lombardo, Jose G. Clavel
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2021
シリーズ名: Behaviormetrics: Quantitative Approaches to Human Behavior ; 8
オンライン: https://doi.org/10.1007/978-981-16-2470-4
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Personal Reflections
Mathematical Preliminaries
Data Formats and Geometry
Coordinates for Joint Graphs
Clustering as an Alternative
Scoring and Profiles
Some Generalizations of Reciprocal Averaging
History of the Biplot
Biplots for Variants of Correspondence Analysis
Personal Reflections
Mathematical Preliminaries
Data Formats and Geometry
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6. Risk Management for Pension Funds : A Continuous Time Approach with Applications in R. 1st ed. 2021
by Francesco Menoncin
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: EURO Advanced Tutorials on Operational Research ;
オンライン: https://doi.org/10.1007/978-3-030-55528-3
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7. Data Science and SDGs : Challenges, Opportunities and Realities. 1st ed. 2021
edited by Bikas Kumar Sinha, Md. Nurul Haque Mollah
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-981-16-1919-9
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Chapter 1: SDGs in Bangladesh: Implementation Challenges & Way Forward
Chapter 2: Some Models and Their Extensions for Longitudinal Analyses
Chapter 3: Association of IL-6 Gene rs1800796 Polymorphism with Cancer Risk: A Meta-Analysis
Chapter 4: Two Level Logistic Regression Analysis of Factors Influencing Dual form of Malnutrition in Mother-child Pairs: A Household Study in Bangladesh
Chapter 5: Divide and Recombine Approach for Analysis of Failure Data Using Parametric Regression Model
Chapter 6: Performance of different data mining methods for predicting rainfall of Rajshahi district, Bangladesh
Chapter 7: Generalized Vector Auto-regression Controlling Intervention and Volatility for Climatic Variables
Chapter 8: Experimental Designs for fMRI Studies in Small Samples
Chapter 9: Bioinformatic Analysis of Differentially Expressed Genes (DEGs) Detected from RNA-Sequencing Profiles of Mouse Striatum
Chapter 10: Level of Serum High-sensitivity C-reactive protein Predicts Atherosclerosis and Coronary Artery Disease in Hyperglycemic Patients
Chapter 11: Identification of Outliers in Gene Expression Data
Chapter 12: Selecting Covariance Structure to Analyze Longitudinal Data: A Study to Model the Body Mass Index of Primary School Going Children in Bangladesh
Chapter 13: Statistical Analysis of Various Optimal Latin Hypercube Designs
Chapter 14: Erlang Loss Formulas: An Elementary Derivation
Chapter 15: Machine Learning, Regression and Numerical Optimization
Chapter 1: SDGs in Bangladesh: Implementation Challenges & Way Forward
Chapter 2: Some Models and Their Extensions for Longitudinal Analyses
Chapter 3: Association of IL-6 Gene rs1800796 Polymorphism with Cancer Risk: A Meta-Analysis
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8. Diagnostic Methods in Time Series. 1st ed. 2021
by Fumiya Akashi, Masanobu Taniguchi, Anna Clara Monti, Tomoyuki Amano
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2021
シリーズ名: JSS Research Series in Statistics ;
オンライン: https://doi.org/10.1007/978-981-16-2264-9
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Chapter 1. Elements of Stochastic Processes
Chapter 2. Systematic approach for portmanteau tests in view of Whittle likelihood ratio
Chapter 3. A new look at portmanteau test
Chapter 4. Adjustments for a class of tests under nonstandard conditions
Chapter 5. Adjustments for variance component tests in ANOVA models
Chapter 6. Robust causality test of infinite variance processes
Chapter 1. Elements of Stochastic Processes
Chapter 2. Systematic approach for portmanteau tests in view of Whittle likelihood ratio
Chapter 3. A new look at portmanteau test
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9. Modern Mathematical Statistics with Applications. 3rd ed. 2021
by Jay L. Devore, Kenneth N. Berk, Matthew A. Carlton
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Springer Texts in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-55156-8
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Preface
1 Overview and Descriptive Statistics
2 Probability
3 Discrete Random Variables and Probability Distributions
4 Continuous Random Variables and Probability Distributions
5 Joint Probability Distributions and Their Applications
6 Statistics and Sampling Distributions
7 Point Estimation
8 Statistical Intervals Based on a Single Sample
9 Tests of Hypotheses Based on a Single Sample
10 Inferences Based on Two Samples
11 The Analysis of Variance
12 Regression and Correlation
13 Chi-Squared Tests
14 Chi-Squared Tests
15 Introduction to Bayesian Estimation
Appendix Tables
Index
Preface
1 Overview and Descriptive Statistics
2 Probability
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10. Advances on Links Between Mathematics and Industry : CTMI 2019. 1st ed. 2021
edited by Peregrina Quintela Estévez, Bartomeu Coll, Rosa M. Crujeiras, José Durany, Laureano Escudero
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: SxI - Springer for Innovation / SxI - Springer per l'Innovazione ; 15
オンライン: https://doi.org/10.1007/978-3-030-59223-3
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1. Perez, Hector D. and Grossmann, Ignacio E., Recent Advances in Computational Models for the Discrete and Continuous Optimization of Industrial Process Systems
2 Casal, G. at al., Optimal Design of a Railway Bypass at Parga, Northwest of Spain
3. Parolini, N. et al., Reduced models for liquid food packaging systems
4. Martín, E. et al., Reduced order modelling in the manufacturing process of wire rod: Applications for fast temperature predictions and optimal selection of process parameters
5. Coroas, C. and Martín, Elena B., Modelling and numerical simulation of the quenching heat treatment. Application to the industrial quenching of automotive spindles
6. Alborés, Alfredo R. and Rodríguez, J., Single Particle Models for the Numerical Simulation of Lithium-ion Cells
7. Casasnovas, D. and Rivero, Á., Fracture propagation using a phase field approach
8. López García, J. and Rivero, Á., Phase space learning with neural networks
1. Perez, Hector D. and Grossmann, Ignacio E., Recent Advances in Computational Models for the Discrete and Continuous Optimization of Industrial Process Systems
2 Casal, G. at al., Optimal Design of a Railway Bypass at Parga, Northwest of Spain
3. Parolini, N. et al., Reduced models for liquid food packaging systems