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Showing 1 to 20 of 26 for “"response modeling"”.

  1. Emotional response modeling in financial markets : Boston Stock Exchange data analysis

    … decisions and situations on the physiological responses of professional market makers. The data for this analysis comes from an experiment performed on market makers at the Boston Stock Exchange. This analysis involved significant preprocessing of large financial and physiological data sets. …

    mit Repository record for Emotional response modeling in financial markets : Boston Stock Exchange data analysis (opens in a new tab)

  2. A generalized form for frequency-response modeling of battery energy storage systems

    The increasing reliance on rechargeable batteries necessitates advanced diagnostic tools. This thesis identifies and validates a generalized 14 parameter distributed equivalent circuit model (dECM) capable of describing the electrochemical impedance behavior of three commercial battery chemistries: …

    temple Repository record for A generalized form for frequency-response modeling of battery energy storage systems (opens in a new tab)

  3. Frequency Response Modeling of Additive Friction Stir Deposition Parts with Print Defects

    A change in a part's response to vibrations can be measured and utilized as a non-destructive testing method to detect deviations in the part's materials or geometry through processes such as laser acoustic resonance spectroscopy. This work focuses on leveraging vibration resonance to detect flaws …

    vt Repository record for Frequency Response Modeling of Additive Friction Stir Deposition Parts with Print Defects (opens in a new tab)

  4. Efficient Design Of Biological Experiments For Dose-Response Modeling In Nanomaterial Toxicology Studies

    … design method adopts suitable nonlinear dose response curve and non-constant variance model in experimental modeling, which more adequately represents the desirable properties of bioassay-experiment. A multiple objective genetic algorithm were used to select best set of non-dominated …

    wvu Repository record for Efficient Design Of Biological Experiments For Dose-Response Modeling In Nanomaterial Toxicology Studies (opens in a new tab)

  5. Testing the Measurement Invariance of Large-Scale Assessment of Foreign Language Proficiency Using Multiple Group Covariance Structure Analyses and Item Response Modeling

    … group covariance structure analyses and item response theory (IRT) modeling as research paradigms, ultimately contributing to the validation of a standardized large-scale foreign language proficiency test for non-native speakers of English; Dimensionality of large-scale English proficiency …

    uiuc Repository record for Testing the Measurement Invariance of Large-Scale Assessment of Foreign Language Proficiency Using Multiple Group Covariance Structure Analyses and Item Response Modeling (opens in a new tab)

  6. The impact of Canadian direct-to-consumer prescription medicine advertising on prescription volume

    … a prescription medication. The same promotional-response modeling technique known as intervention time-series analysis that Basara (1996) used, was used to investigate the potential for DTCA to impact new prescription volume for this medication. Results suggest that DTCA did not have an …

    concordia Repository record for The impact of Canadian direct-to-consumer prescription medicine advertising on prescription volume (opens in a new tab)

  7. Mechanistic-Empirical Modeling of Permanent Deformation in Asphalt Concrete Layers

    … deformation in the semi-rigid section due to its response modeling sensitivity to overall pavement stiffness. Further, the results indicated that the relation between elastic and plastic material properties may change throughout the pavement life. The PEDRO model behavior due to lateral wander and …

    lund Repository record for Mechanistic-Empirical Modeling of Permanent Deformation in Asphalt Concrete Layers (opens in a new tab)

  8. High-dimensional Multimodal Bayesian Learning

    … of functional graphical nodes, and continuous response modeling given both scalar and functional covariates under semiparametric, nonadditive models, which allow us to capture unknown, possibly nonlinear, interaction terms among high dimensional functional variables. In Chapter 4, we extend our …

    vt Repository record for High-dimensional Multimodal Bayesian Learning (opens in a new tab)

  9. Compact and low-power computational 3D sensors for gestural input

    … for 3D imaging are presented, both relying on modeling and algorithms from parametric sampling theory and compressed sensing. Then, a separate system for 3D localization, without full 3D imaging, is presented. This system, Mime, is built using standard, low-cost opto-electronic components - a …

    mit Repository record for Compact and low-power computational 3D sensors for gestural input (opens in a new tab)

  10. Graphical Tools, Incorporating Cost and Optimizing Central Composite Designs for Split-Plot Response Surface Methodology Experiments

    … from in CRDs, and hence this affects not only response modeling but also the choice of design. In this dissertation, two graphical tools, three-dimensional variance dispersion graphs (3-D VDGs) and fractions of design space (FDS) plots are adapted for split-plot designs (SPDs). They are used …

    vt Repository record for Graphical Tools, Incorporating Cost and Optimizing Central Composite Designs for Split-Plot Response Surface Methodology Experiments (opens in a new tab)

  11. The effect of price, advertising, and income on consumer demand: an almost ideal demand system investigation

    … to include marketing variables in a sales response function. Specifically, advertising is hypothesized to act as a moderator in eliminating the asymmetry. A related issue investigated in this research is the existence and empirical testing of mental expenditure accounts. Grouping of …

    vt Repository record for The effect of price, advertising, and income on consumer demand: an almost ideal demand system investigation (opens in a new tab)

  12. Novel Approaches to Exposure Assessment and Dose Response to Contaminants in Drinking Water and Food

    … novel methods for exposure assessments and dose responses to contaminants in drinking water and foods. Factors that greatly impact contaminant exposures and human dose response include: population susceptibility (i.e., healthy adults or children), different routes of exposures (i.e., ingestion or …

    vt Repository record for Novel Approaches to Exposure Assessment and Dose Response to Contaminants in Drinking Water and Food (opens in a new tab)

  13. An Integrated Agent-Based Microsimulation Model for Hurricane Evacuation in New Orleans

    … is crucial for the officials. Microsimulation modeling, which focuses on the characteristics of individual motorists and travel behavior, has been used widely in traffic simulation as it can lead to the most accurate result. However, because detailed driver response modeling and path processing …

    lsu-thes Repository record for An Integrated Agent-Based Microsimulation Model for Hurricane Evacuation in New Orleans (opens in a new tab)

  14. Nonparametric Statistical Approaches for Benchmark Dose Estimation in Quantitative Risk Assessment

    … of quantitative risk assessment involves dose-response modeling. Therein, an appropriate statistical model that approximately quantifies the relationship between exposure level (dose) and response (adverse endpoint) is fit to experimental data. The objective of this dissertation is to estimate …

    arizona-thes Repository record for Nonparametric Statistical Approaches for Benchmark Dose Estimation in Quantitative Risk Assessment (opens in a new tab)

  15. Rational design to control multipotent stromal cell migration for applications in bone tissue engineering and injury repair

    … and effectively design scaffolds to drive MSC responses of survival, proliferation, migration, and differentiation, we must first understand these responses and the underlying protein signaling pathways that mediate them. While our knowledge of MSC behavior is limited as a field, MSC migration …

    mit Repository record for Rational design to control multipotent stromal cell migration for applications in bone tissue engineering and injury repair (opens in a new tab)

  16. A Bayesian Approach to Dose-Response Assessment and Drug-Drug Interaction Analysis: Application to In Vitro Studies

    … and minimizing or delaying drug resistance. Dose-response assessment and drug-drug interaction analysis play an important part in the drug discovery process, however analysis are often poorly done. This dissertation is an effort to notably improve dose-response assessment and drug-drug interaction …

    uthsc Repository record for A Bayesian Approach to Dose-Response Assessment and Drug-Drug Interaction Analysis: Application to In Vitro Studies (opens in a new tab)

  17. Condition Assessment of Civil Infrastructure and Materials Using Deep Learning

    … (PI-LSTM) network for data-driven structural response modeling. This work first applied the single-degree-of-freedom (SDOF) system to investigate the performance of the proposed PI-LSTM network compared with the existing methods. Then this work further investigated and validated the proposed …

    vt Repository record for Condition Assessment of Civil Infrastructure and Materials Using Deep Learning (opens in a new tab)

  18. Advancing Radiotherapy Treatment Through Artificial Intelligence-Driven Approaches

    … structure learning model for mBMs SRS treatment response modeling, and an AI model for mBMs patients post-SRS neurocognitive decline prediction, to assist the SRS treatment decision-making and to improve the treatment quality. (3) Quantitative FLASH radiotherapy with AI. In this part, an AI model …

    utswmed Repository record for Advancing Radiotherapy Treatment Through Artificial Intelligence-Driven Approaches (opens in a new tab)

  19. Use of Nonlinear Volterra Theory in Predicting the Propagation of Non-uniform Flow Through an Axial Compressor

    … stages and engine components. With current modeling techniques, total pressure distortion magnitudes can be directly correlated to induced blade vibratory levels and modes. The ability to predict downstream distortion patterns then allows for the inference of blade vibratory response of …

    vt Repository record for Use of Nonlinear Volterra Theory in Predicting the Propagation of Non-uniform Flow Through an Axial Compressor (opens in a new tab)

  20. Studying How Changes in Consumer Sentiment Impact the Stock Markets and the Housing Markets

    … sentiment and stock returns using asymmetric response models. Chapter 3 builds upon the previous chapter's findings by using consumer sentiment to explore if this index can forecast housing market variables such as changes in home sales and home prices. Given the recent financial market …

    uno Repository record for Studying How Changes in Consumer Sentiment Impact the Stock Markets and the Housing Markets (opens in a new tab)

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