Search Results - time-series data

Data mining in time series databases

An electronic book accessible through the World Wide Web; click to view

Data mining in time series databases

An electronic book accessible through the World Wide Web; click to view

Basic data analysis for time series with R / by Derryberry, DeWayne R.

Subjects: “…Time-series analysis Data processing.…”
An electronic book accessible through the World Wide Web; click to view

Basic data analysis for time series with R / by Derryberry, DeWayne R.

Subjects: “…Time-series analysis Data processing.…”
An electronic book accessible through the World Wide Web; click to view

An introduction to analysis of financial data with R / by Tsay, Ruey S., 1951-

An electronic book accessible through the World Wide Web; click to view

An introduction to analysis of financial data with R / by Tsay, Ruey S., 1951-

An electronic book accessible through the World Wide Web; click to view

How to display data by Freeman, Jenny V. (Jenny Vanessa)

Table of Contents: “…Introduction to data display -- How to display data badly -- Displaying univariate categorical data -- Displaying quantitative data -- Displaying the relationship between two continuous variables -- Data in tables -- Reporting study results -- Time series plots and survival curves -- Displaying results in presentations.…”
An electronic book accessible through the World Wide Web; click to view

How to display data by Freeman, Jenny V. (Jenny Vanessa)

Table of Contents: “…Introduction to data display -- How to display data badly -- Displaying univariate categorical data -- Displaying quantitative data -- Displaying the relationship between two continuous variables -- Data in tables -- Reporting study results -- Time series plots and survival curves -- Displaying results in presentations.…”
An electronic book accessible through the World Wide Web; click to view

Secondary Analysis of Electronic Health Records by MIT Critical Data

Table of Contents: “…Outliers -- Case Studies -- Introduction -- Predictive Modeling: outcome prediction (discrete) -- Predictive Modeling: dose optimization (regression) -- Pharmacovigilance (classification) -- Comparative effectiveness: propensity score analysis -- Comparative effectiveness: instrumental variable analysis -- Decision and Cost Effectiveness Analysis: Hidden Markov models and Monte Carlo simulation -- Time series analysis: Gaussian processes (ICP modelling) -- Time series analysis: Bayesian inference (Motif discovery in numerical signals) -- Time Series analysis: Optimization techniques for hyperparameter selection -- Signal processing: analysis of waveform data -- Signal processing: False alarm reduction.…”
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Secondary Analysis of Electronic Health Records by MIT Critical Data

Table of Contents: “…Outliers -- Case Studies -- Introduction -- Predictive Modeling: outcome prediction (discrete) -- Predictive Modeling: dose optimization (regression) -- Pharmacovigilance (classification) -- Comparative effectiveness: propensity score analysis -- Comparative effectiveness: instrumental variable analysis -- Decision and Cost Effectiveness Analysis: Hidden Markov models and Monte Carlo simulation -- Time series analysis: Gaussian processes (ICP modelling) -- Time series analysis: Bayesian inference (Motif discovery in numerical signals) -- Time Series analysis: Optimization techniques for hyperparameter selection -- Signal processing: analysis of waveform data -- Signal processing: False alarm reduction.…”
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Working with economic indicators interpretation and sources / by Stengel, Donald N.

An electronic book accessible through the World Wide Web; click to view

Working with economic indicators interpretation and sources / by Stengel, Donald N.

An electronic book accessible through the World Wide Web; click to view

Demand forecasting for managers / by Kolassa, Stephan, Siemsen, Enno

Table of Contents: “…Forecasting basics -- 4. Know your time series -- 5. Time series decomposition -- Part 3. …”
An electronic book accessible through the World Wide Web; click to view

Demand forecasting for managers / by Kolassa, Stephan, Siemsen, Enno

Table of Contents: “…Forecasting basics -- 4. Know your time series -- 5. Time series decomposition -- Part 3. …”
An electronic book accessible through the World Wide Web; click to view

Applied Statistics for Economics and Business / by Özdemir, Durmuş

Table of Contents: “…Introduction -- 1.Collecting Data -- 2.Data presentation: Graphs, Frequency Tables and Histograms -- 3.Measures of Location -- 4.Measures of Dispersion -- 5.Index Numbers -- 6.Inequality Indices -- 7.Probability Theory -- 8.Probability Distributions -- 9.Estimation and Confidence Intervals -- 10.Hypothesis Testing -- 11.The [chi]2, F-Distributions and the ANOVA -- 12.Correlation -- 13.Simple Regression. …”

Applied Statistics for Economics and Business / by Özdemir, Durmuş

Table of Contents: “…Introduction -- 1.Collecting Data -- 2.Data presentation: Graphs, Frequency Tables and Histograms -- 3.Measures of Location -- 4.Measures of Dispersion -- 5.Index Numbers -- 6.Inequality Indices -- 7.Probability Theory -- 8.Probability Distributions -- 9.Estimation and Confidence Intervals -- 10.Hypothesis Testing -- 11.The [chi]2, F-Distributions and the ANOVA -- 12.Correlation -- 13.Simple Regression. …”

Introduction to logistics systems management by Ghiani, Gianpaolo

Table of Contents: “…Machine generated contents note: Foreword Preface About the Authors Exercises and Website Acknowledgments 1 Introducing Logistics 1.1 Definition of Logistics 1.2 Logistics Systems 1.2.1 Logistics activities 1.2.2 Information flows and logistics network 1.2.3 Case of more products 1.3 Reverse Logistics 1.4 Integrated Logistics 1.5 Objectives of Logistics 1.5.1 Measures of the service level 1.6 Management of the Logistics System 1.6.1 Planning phase 1.6.2 Organisational phase 1.6.3 Control phase 1.7 Case Study: the Pfizer Logistics System 1.8 Questions and Problems 2 Forecasting Logistics Requirements 2.1 Introduction 2.2 Qualitative Methods 2.3 Quantitative Methods 2.3.1 Graphical representation of time series 2.3.2 Classification of time series 2.4 Data Preprocessing 2.4.1 Insertion of missing data 2.4.2 Detection of outliers 2.4.3 Data aggregation 2.4.4 Removing the calendar variations 2.4.5 Deflating monetary time series 2.4.6 Adjusting for population variations 2.4.7 Normalising the data 2.5 Choice of the Forecasting Method 2.5.1 Notation 2.5.2 Casual versus extrapolation methods 2.5.3 Decomposition method 2.5.4 Further time series extrapolation methods: the constant trend case 2.5.5 Further time series extrapolation methods: the linear trend case 2.5.6 Further time series extrapolation methods: the seasonal effect case 2.5.7 Further time series extrapolation methods: the irregular series case 2.5.8 Sporadic time series 2.6 Advanced Forecasting Method 2.7 Accuracy Measure and Forecasting Monitoring 2.7.1 Accuracy measures 2.7.2 Tuning of the forecasting methods 2.7.3 Forecast control 2.8 Interval Forecasts 2.9 Case Study: Forecasting Methods at Adriatica Accumulatori 2.10 Case Study: Sales Forecasting at Orlea 2.11 Questions and Problems 3 Designing the Logistics Network 3.1 Introduction 3.2 Qualitative Methods 3.3 Quantitative Methods 3.3.1 Single-commodity single-echelon continuous location problems 3.3.2 Single-commodity single-echelon discrete location problems 3.3.3 Single-commodity two-echelon discrete location problems 3.3.4 The multi-commodity case 3.3.5 Location-covering problems 3.3.6 p-centre problems 3.4 Hybrid Methods 3.5 Stochastic Location Models 3.6 Case Study: Container Warehouse Location at Hardcastle 3.7 Case Study: the Organ Transplantation Location-Allocation Policy of the Italian National Transplant Centre 3.8 Questions and Problems 4 Selecting the Suppliers 4.1 Introduction 4.2 Definition of the Set of Potential Suppliers 4.3 Definition of the Selection Criteria 4.4 Supplier Selection 4.5 Case Study: the System for the Selection of Suppliers at Baxter 4.6 Questions and Problems 5 Managing a Warehouse 5.1 Introduction 5.1.1 Performance parameters 5.1.2 Decision-making problems 5.2 Warehouse Design 5.2.1 Choice of warehouse systems 5.2.2 Choice of warehouse layout 5.2.3 Sizing of the storage zone 5.2.4 Sizing of the receiving zone 5.2.5 Sizing of the shipping zone 5.3 Tactical Decisions for Warehouse Logistics Planning 5.3.1 Product allocation to the storage points 5.3.2 Inventory management 5.4 Operational Decisions for Warehouse Logistics Management 5.4.1 Package picking from the storage zone 5.4.2 Package consolidation in load units 5.5 Case Study: Performance Evaluation of an AS/RS System conducted by Wert Consulting 5.6 Case Study: Inventory Management at Wolferine 5.7 Case Study: Airplane Loading at FedEx 5.8 Questions and Problems 6 Managing Freight Transport 6.1 Introduction 6.1.1 Modes of transport 6.1.2 Classification of transport problems 6.2 Freight Traffic Assignment Problems 6.2.1 Minimum cost flow formulation 6.2.2 Linear single commodity minimum cost flow problems 6.2.3 Linear multicommodity minimum cost flow problems 6.3 Service Network Design Problems 6.3.1 The linear fixed charge network design model 6.4 Vehicle Allocation Problems 6.5 A Dynamic Driver Assignment Problem 6.6 Fleet Composition 6.7 Shipment Consolidation 6.8 Vehicle Routing Problems 6.8.1 The travelling salesman problem 6.8.2 The node routing problem with capacity and length constraints 6.8.3 The node routing and scheduling problem with time windows 6.8.4 Arc routing problems 6.8.5 Route sequencing 6.9 Real-Time Vehicle Routing Problems 6.10 Integrated Location and Routing Problems 6.11 Vendor Managed Inventory-Routing 6.12 Case Study: Air Network Design at Intexpress 6.13 Case Study: Meter Reader Routing and Scheduling at Socal 6.14 Case Study: Dynamic Vehicle Dispatching Problem with pickups and Deliveries at eCourier 6.15 Questions and Problems Index .…”
An electronic book accessible through the World Wide Web; click to view

Introduction to logistics systems management by Ghiani, Gianpaolo

Table of Contents: “…Machine generated contents note: Foreword Preface About the Authors Exercises and Website Acknowledgments 1 Introducing Logistics 1.1 Definition of Logistics 1.2 Logistics Systems 1.2.1 Logistics activities 1.2.2 Information flows and logistics network 1.2.3 Case of more products 1.3 Reverse Logistics 1.4 Integrated Logistics 1.5 Objectives of Logistics 1.5.1 Measures of the service level 1.6 Management of the Logistics System 1.6.1 Planning phase 1.6.2 Organisational phase 1.6.3 Control phase 1.7 Case Study: the Pfizer Logistics System 1.8 Questions and Problems 2 Forecasting Logistics Requirements 2.1 Introduction 2.2 Qualitative Methods 2.3 Quantitative Methods 2.3.1 Graphical representation of time series 2.3.2 Classification of time series 2.4 Data Preprocessing 2.4.1 Insertion of missing data 2.4.2 Detection of outliers 2.4.3 Data aggregation 2.4.4 Removing the calendar variations 2.4.5 Deflating monetary time series 2.4.6 Adjusting for population variations 2.4.7 Normalising the data 2.5 Choice of the Forecasting Method 2.5.1 Notation 2.5.2 Casual versus extrapolation methods 2.5.3 Decomposition method 2.5.4 Further time series extrapolation methods: the constant trend case 2.5.5 Further time series extrapolation methods: the linear trend case 2.5.6 Further time series extrapolation methods: the seasonal effect case 2.5.7 Further time series extrapolation methods: the irregular series case 2.5.8 Sporadic time series 2.6 Advanced Forecasting Method 2.7 Accuracy Measure and Forecasting Monitoring 2.7.1 Accuracy measures 2.7.2 Tuning of the forecasting methods 2.7.3 Forecast control 2.8 Interval Forecasts 2.9 Case Study: Forecasting Methods at Adriatica Accumulatori 2.10 Case Study: Sales Forecasting at Orlea 2.11 Questions and Problems 3 Designing the Logistics Network 3.1 Introduction 3.2 Qualitative Methods 3.3 Quantitative Methods 3.3.1 Single-commodity single-echelon continuous location problems 3.3.2 Single-commodity single-echelon discrete location problems 3.3.3 Single-commodity two-echelon discrete location problems 3.3.4 The multi-commodity case 3.3.5 Location-covering problems 3.3.6 p-centre problems 3.4 Hybrid Methods 3.5 Stochastic Location Models 3.6 Case Study: Container Warehouse Location at Hardcastle 3.7 Case Study: the Organ Transplantation Location-Allocation Policy of the Italian National Transplant Centre 3.8 Questions and Problems 4 Selecting the Suppliers 4.1 Introduction 4.2 Definition of the Set of Potential Suppliers 4.3 Definition of the Selection Criteria 4.4 Supplier Selection 4.5 Case Study: the System for the Selection of Suppliers at Baxter 4.6 Questions and Problems 5 Managing a Warehouse 5.1 Introduction 5.1.1 Performance parameters 5.1.2 Decision-making problems 5.2 Warehouse Design 5.2.1 Choice of warehouse systems 5.2.2 Choice of warehouse layout 5.2.3 Sizing of the storage zone 5.2.4 Sizing of the receiving zone 5.2.5 Sizing of the shipping zone 5.3 Tactical Decisions for Warehouse Logistics Planning 5.3.1 Product allocation to the storage points 5.3.2 Inventory management 5.4 Operational Decisions for Warehouse Logistics Management 5.4.1 Package picking from the storage zone 5.4.2 Package consolidation in load units 5.5 Case Study: Performance Evaluation of an AS/RS System conducted by Wert Consulting 5.6 Case Study: Inventory Management at Wolferine 5.7 Case Study: Airplane Loading at FedEx 5.8 Questions and Problems 6 Managing Freight Transport 6.1 Introduction 6.1.1 Modes of transport 6.1.2 Classification of transport problems 6.2 Freight Traffic Assignment Problems 6.2.1 Minimum cost flow formulation 6.2.2 Linear single commodity minimum cost flow problems 6.2.3 Linear multicommodity minimum cost flow problems 6.3 Service Network Design Problems 6.3.1 The linear fixed charge network design model 6.4 Vehicle Allocation Problems 6.5 A Dynamic Driver Assignment Problem 6.6 Fleet Composition 6.7 Shipment Consolidation 6.8 Vehicle Routing Problems 6.8.1 The travelling salesman problem 6.8.2 The node routing problem with capacity and length constraints 6.8.3 The node routing and scheduling problem with time windows 6.8.4 Arc routing problems 6.8.5 Route sequencing 6.9 Real-Time Vehicle Routing Problems 6.10 Integrated Location and Routing Problems 6.11 Vendor Managed Inventory-Routing 6.12 Case Study: Air Network Design at Intexpress 6.13 Case Study: Meter Reader Routing and Scheduling at Socal 6.14 Case Study: Dynamic Vehicle Dispatching Problem with pickups and Deliveries at eCourier 6.15 Questions and Problems Index .…”
An electronic book accessible through the World Wide Web; click to view

Bayesian Methods in the Search for MH370 by Davey, Sam, Gordon, Neil, Holland, Ian, Rutten, Mark, Williams, Jason

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Bayesian Methods in the Search for MH370 by Davey, Sam, Gordon, Neil, Holland, Ian, Rutten, Mark, Williams, Jason

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