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Wednesday, May 13, 2020 | History

1 edition of A methodology for validation of high resolution combat models found in the catalog.

A methodology for validation of high resolution combat models

Michael Paul Coville

A methodology for validation of high resolution combat models

by Michael Paul Coville

  • 203 Want to read
  • 36 Currently reading

Published by Naval Postgraduate School in Monterey, California .
Written in English

    Subjects:
  • Operations research

  • About the Edition

    Senior officers in the United States Army have a high degree of confidence that National Training Center simulated combat results are representative, under similar circumstances, of actual combat. A validation methodology for high resolution combat models, primarily based on data acquired from the National Training Center, is the focus of this thesis. The validation methodology, where appropriate, translates confidence in National Training Center realism, to confidence in the combat model. Theoretical issues, existing methodologies, and the impact of model purpose are considered in this research. The final product is a validation methodology that makes use of a realistic representation of combat, automatically updates validation criteria to account for changes in weapons and tactics, and is responsive to the purpose for which the model was designed. Theses. (fr)

    Edition Notes

    StatementMichael Paul Coville
    ContributionsNaval Postgraduate School (U.S.)
    The Physical Object
    Paginationv, 95 p. ;
    Number of Pages95
    ID Numbers
    Open LibraryOL25600282M
    OCLC/WorldCa83527505

    Paul K. Davis and Angela O'Mahony, A Computational Model of Public Support for Insurgency and Terrorism: a Prototoype for More-General Social-Scince Modelkng, RAND Corporation (TROSD), Paul K. Davis and Kim Cragin, Social Science for Counterterrorism: Putting the Pieces Together, RAND Corporation (MG),   @article{osti_, title = {Concepts of Model Verification and Validation}, author = {Thacker, B H and Doebling, S W and Hemez, F M and Anderson, M C and Pepin, J E and Rodriguez, E A}, abstractNote = {Model verification and validation (V&V) is an enabling methodology for the development of computational models that can be used to make engineering predictions with Cited by:

    Adjusting batch effects in microarray expression data using Empirical Bayes methods. The modified ComBat (M-Combat) is designed specifically in the context of meta-analysis and batch effect adjustment for use with predictive models that are validated and fixed on historical data from a ‘gold-standard’ ace: Command line interface. Model Validation Techniques Kevin Mahoney, FCAS [email protected] CAS RPM Seminar Ma Uses of Statistical Models in P/C Insurance Examples of Applications •Determine expected loss cost for an account (by line-of-business, peril, etc.) •Determine likelihood to defect for an account •Determine effectiveness of advertising.

    5 Model Validation and Prediction. INTRODUCTION. From a mathematical perspective, validation is the process of assessing whether or not the quantity of interest (QOI) for a physical system is within some tolerance—determined by the intended use of the model—of the model prediction.   • Model Validation – Model validation helps ensure models are sound. It also identifies potential limitations and assesses their possible impact – Validation should generally be performed by someone who does not have a stake in whether a model is determined to be valid – The guidance sets expectations for effective model validation:File Size: KB.


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A methodology for validation of high resolution combat models by Michael Paul Coville Download PDF EPUB FB2

Methodologythatmakesuseofarealisticrepresentationofcombat,automaticallyupdates validation criteria to account for changes in weapons and tactics, and is responsiveto the purpose for whichthe modelwas designed. texts All Books All Texts latest This Just In Smithsonian Libraries FEDLINK (US) Genealogy Lincoln Collection.

National Emergency Library. Top American Libraries Canadian Libraries Universal Library Community Texts Project Gutenberg Biodiversity Heritage Library Children's Library. Open Pages: The major objective of this series of experiments was to generate reliable field data to be used to validate some of the Army’s high resolution combat models, such as DYNTACS, CARMONETTE, and the Individual Unit Action model.

The experiment also provided reliable input data for production runs of the : M. Bryson. “This book is devoted to the analysis of multifarious combat models, which are classified into nine groups.

Each chapter corresponds to one such class. The authors start with a description of commonly used assumptions, which considerably simplify examination. requires a basic knowledge of calculus, ordinary differential equations. The approach enhances existing methods for the validation of discrete event simulation models by incorporating the inherent game setting of air combat into the analysis.

predictive. In short, we attempt to describe the interactions and course of combat before efforts are made to model these computationally or algorithmically (generally accepted as a logical first step in the model-building process). Thus, we are addressing the structure or framework of a model, rather than an actual working Size: KB.

three components of Combat Assessment (CA) that may result in a re-attack recommendation (RR): battle damage assessment (BDA), collateral damage assessment (CDA), and munitions effectiveness assessment (MEA).

It provides analysts with the definitions, methodology, and principles of. Variable-resolution combat modeling: motivations, issues, and principles Article (PDF Available) January with 66 Reads How we measure 'reads'. Approaches to Validation and Evaluation in Qualitative Studies of.

Management Accounting. Lili-Anne Kihn & Eeva-Mari Ihantola, School of Management, University of Tampere, Finland. Published in. Qualitative Research in Accounting and Management, Vol. 12, No.3, Abstract.

Purpose: This paper addresses the reporting of validation. Specification of Drug Substances and Products: Development and Validation of Analytical Methods is a comprehensive and critical analysis of the requirements and approaches to setting specifications for new pharmaceutical products, with an emphasis on phase-appropriate development and validation of analytical methods.

This book is intended as. “This book is devoted to the analysis of multifarious combat models, which are classified into nine groups. Each chapter corresponds to one such class.

The authors start with a description of commonly used assumptions, which considerably simplify examination. requires a basic knowledge of calculus, ordinary differential equations Cited by: sequences found in high-resolution models are replaced by average behavior.

In a high-resolution model, attrition is simulated by acting out target acquisition, target selection, firing, impact, and assessment as a sequence of discrete events.

In an aggregated model we might, instead, compute the rate at which an average tank kills enemy Size: KB. models for method validation are provided which can, in part, be used directly, it is recommended that managers of laboratories should supervise the preparation of in-house validation procedures following the guidelines given.

Model risk tiering: an exploration of industry practices and principles (), which focused on model validation, was the first formal supervisory guidance on model risk for financial firms. Model risk was subsequently addressed at a high level in the Basel capital rules, developed in greater depth by the Committee of European Banking Cited by: 1.

Concept: Each student will use combat models to analyze a notional modernized tank to determine its impact on force effectiveness. Given: 1. A high-resolution tank-on-tank combat simulation. This model will be provided by the instructor.

It is written in Java; source code will also be provided. This report describes the methodology and results of independent verification and validation performed on a combat model in its design stage. The combat model is the Future Theater Level Model (FTLM), under development by The Joint Staff/J J-8 has undertaken its development to provide an analysis.

Combat Models started their plastic scale modeling journey in the Eighties of the previous century. Based on our records the first release by Combat Models was roughly 40 years ago in the year products from Combat Models have no clear release year and are not shown in the above statistics.

It provides recommendations on how you, the applicant, can submit analytical procedures and methods validation data to support the documentation of the identity, strength, quality, purity, and. Appropriate and effective methods of implementing Test Method Validation.

The goal of a quality system is to consistently produce products that are fit for their intended use. Test Method Validation is a key element in assuring that these principles and goals are met.

Abbreviations TMV - Test Method Validation FDA - Food and Drug Administration. System log book. Experiments to test the analytical method performance are recommended by the FDA in the document “Guidance for Industry: Bioanalytical Method Validation.” The experiments use elements of interest to the BNL isotope production group.

Results from analytical method performance experiments can be found in the ICP-OES Instrument. means it’s official.

Federal government websites often end Before sharing sensitive information, make sure you're on a federal government site.A simple and intuitive way of performing validation for a hydrological model is to use the so-called "split-sample" procedure.

The observed data are divided into two groups: one group is used for calibration and the other group is used to test the model by emulating a real world application, namely, by performing a out-of-sample application.by Judith Curry. On the thread building confidence in climate models, a small amount of text was devoted to verification and validation (V&V).

In raising the level of the game, I included the following bullet: • Fully documented verification and validation of climate models. Steve Easterbrook objects to this statement; Dan Hughes objects to Steve Easterbrooks objection.