Relevant bibliographies by topics / Quantitative methods

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Quantitative methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Quantitative methods"

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Poon, Jessie P. H. "Quantitative methods: producing quantitative methods narratives." Progress in Human Geography 27, no. 6 (December 2003): 753–62. http://dx.doi.org/10.1191/0309132503ph461pr.

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Wrigley, Neil. "Quantitative methods." Progress in Human Geography 11, no. 4 (September 1987): 565–79. http://dx.doi.org/10.1177/030913258701100407.

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Lewis, Colin, N. R. Farnum, and L. W. Stanton. "Quantitative Forecasting Methods." Journal of the Operational Research Society 41, no. 8 (August 1990): 783. http://dx.doi.org/10.2307/2583483.

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Chen, Chung, Nicholas R. Farnum, and LaVerne W. Stanton. "Quantitative Forecasting Methods." Technometrics 34, no. 3 (August 1992): 358. http://dx.doi.org/10.2307/1270047.

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Munro, Barbara Hazard. "Quantitative Research Methods." Alzheimer Disease & Associated Disorders 13 (1999): S50–53. http://dx.doi.org/10.1097/00002093-199904001-00012.

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Brunsdon, Chris. "Quantitative methods I." Progress in Human Geography 40, no. 5 (July 10, 2016): 687–96. http://dx.doi.org/10.1177/0309132515599625.

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Brunsdon, Christopher. "Quantitative methods II." Progress in Human Geography 41, no. 4 (May 18, 2016): 512–23. http://dx.doi.org/10.1177/0309132516648020.

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Brunsdon, Chris. "Quantitative methods III." Progress in Human Geography 42, no. 4 (July 10, 2017): 610–21. http://dx.doi.org/10.1177/0309132517717008.

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Stevens’ scales of measurement are often used in texts outlining statistical approaches for geographers. However, it is sometimes overlooked that these are not universally accepted, and indeed the theory surrounding them is contested. This progress report reviews the key ideas of these scales, and discusses a number of the problems they raise – most notably the fact that certain kinds of data are omitted. The value of an axiomatic approach to measurement scales and appropriate statistical techniques is then considered. The report concludes by considering further areas where these ideas may be developed.
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Williamson, Paul. "Quantitative Geographical Methods." Population Studies 49, no. 1 (March 1, 1995): 183–84. http://dx.doi.org/10.1080/0032472031000148426.

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Lewis, Colin. "Quantitative Forecasting Methods." Journal of the Operational Research Society 41, no. 8 (August 1990): 783. http://dx.doi.org/10.1057/jors.1990.107.

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Dissertations / Theses on the topic "Quantitative methods"

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Rohde, Gustavo Kunde. "Registration methods for quantitative imaging." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2938.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005.
Thesis research directed by: Applied Mathematics and Scientific Computation. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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REN, XIAOHUI. "COMPARING QUANTITATIVE ASSOCIATION RULE METHODS." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1089133333.

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Yong, Florence Hiu-Ling. "Quantitative Methods for Stratified Medicine." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17463130.

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Stratified medicine has tremendous potential to deliver more effective therapeutic intervention to improve public health. For practical implementation, reliable prediction models and clinically meaningful categorization of some comprehensible summary measures of individual treatment effect are vital elements to aid the decision-making process and bring stratified medicine to fruitful realization. We tackle the quantitative issues involved from three fronts : 1) prediction model building and selection; 2) reproducibility assessment; and 3) stratification. First, we propose a systematic model development strategy that integrates cross-validation and predictive accuracy measures in the prediction model building and selection process. Valid inference is made possible via internal holdout sample or external data evaluation to enhance generalizability of the selected prediction model. Second, we employ parametric or semi-parametric modeling to derive individual treatment effect scoring systems. We introduce a stratification algorithm with constrained optimization by utilizing dynamic programming and supervised-learning techniques to group patients into different actionable categories. We integrate the stratification and newly proposed prediction performance metric into the model development process. The methodologies are first presented in single treatment case, and then extended to two treatment cases. Finally, adapting the concept of uplift modeling, we provide a framework to identify the subgroup(s) with the most beneficial prospect; wasteful, harmful, and futile subgroups to save resources and reduce unnecessary exposure to treatment adverse effects. The proposals are illustrated by AIDS clinical study data and cardiology studies for non-censored and censored outcomes. The contribution of this dissertation is to provide an operational framework to bridge predictive modeling and decision making for more practical applications in stratified medicine.
Biostatistics
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Ramya, Sravanam Ramya. "Empirical Study on Quantitative Measurement Methods for Big Image Data : An Experiment using five quantitative methods." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13466.

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Context. With the increasing demand for image processing applications in multimedia applications, the importance for research on image quality assessment subject has received great interest. While the goal of Image Quality Assessment is to find the efficient Image Quality Metrics that are closely relative to human visual perception, from the last three decades much effort has been put by the researchers and numerous papers and literature has been developed with emerging Image Quality Assessment techniques. In this regard, emphasis is given to Full-Reference Image Quality Assessment research where analysis of quality measurement algorithms is done based on the referenced original image as that is much closer to perceptual visual quality. Objectives. In this thesis we investigate five mostly used Image Quality Metrics which were selected (which includes Peak Signal to Noise Ratio (PSNR), Structural SIMilarity Index (SSIM), Feature SIMilarity Index (FSIM), Visual Saliency Index (VSI), Universal Quality Index (UQI)) to perform an experiment on a chosen image dataset (of images with different types of distortions due to different image processing applications) and find the most efficient one with respect to the dataset used. This research analysis could possibly be helpful to researchers working on big image data projects where selection of an appropriate Image Quality Metric is of major significance. Our study details the use of dataset taken and the experimental results where the image set highly influences the results.  Methods. The goal of this study is achieved by conducting a Literature Review to investigate the existing Image Quality Assessment research and Image Quality Metrics and by performing an experiment. The image dataset used in the experiment is prepared by obtaining the database from LIVE Image Quality Assessment database. Matlab software engine was used to experiment for image processing applications. Descriptive analysis (includes statistical analysis) was employed to analyze the results obtained from the experiment. Results. For the distortion types involved (JPEG 2000, JPEG compression, White Gaussian Noise, Gaussian Blur) SSIM was efficient to measure the image quality after distortion for JPEG 2000 compressed and white Gaussian noise images and PSNR was efficient for JPEG compression and Gaussian blur images with respect to the original image.  Conclusions. From this study it is evident that SSIM and PSNR are efficient in Image Quality Assessment for the dataset used. Also, that the level of distortions in the image dataset highly influences the results, where in our case SSIM and PSNR perform efficiently for the used database.
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Yelchuru, Ramprasad. "Quantitative methods for controlled variables selection." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for kjemisk prosessteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17539.

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Optimal operation is important to improve productivity to be more competitive, and therefore, increase profitability. Optimal operation can be viewed to constitute the control layer (supervisory layer plus regulatory layer) and optimization layer in the hierarchical decomposition of plantwide control. The task of control layer is to keep controlled variables at given set points and the task of optimization layer is to provide optimal set points. For simple implementation, we want to update the set points less frequently while obtaining an acceptable loss in the presence of disturbances. This can be achieved by appropriate controlled variables selection and keeping them at constant set points. This approach is termed as “self-optimizing control” as this approach automatically lead the operation close to optimal operation. Physically, in self-optimizing control, the selected controlled variables can be seen as the set of variables whose optimal values are insensitive to disturbances and controlling these (at constant set point) would reduce the need for frequent set point updates. The selected controlled variables obtained in “self-optimizing control” link the optimization layer and the control layer. Self-optimizing control provides a mathematical framework and we use this framework to select the controlled variables c as linear combinations of measurements y, c = Hy, with the aim to minimize the steady state loss from optimal operation. In “self-optimizing control”, we keep the controlled variables c at constant set points using feedback, and this feedback introduces implementation errors. The focus of this thesis is to devise systematic and good methods to arrive at controlled variables by finding optimal H that minimize the steady state loss of optimality in the presence of both disturbances and implementation errors. There are three main contributions in this thesis. The first contribution is to provide (i) a convex formulation to find the optimal combination matrix H for a given measurement set, and (ii) a Mixed-Integer Quadratic Programming (MIQP) methodology to select optimal measurement subsets that result in minimal steady state loss in the presence of disturbances. The methods provided in this thesis are exact for quadratic problems with linear measurement relations. The MIQP methods can handle additional structural constraints compared to the Branch and Bound (BAB) methods reported in literature for these problems. The MIQP methods are evaluated on a toy example, an evaporator example, a binary distillation column example with 41 stages and a Kaibel column example with 71 stages. Second contribution is to develop convex approximation methods that incorporate structural constraints to improve the dynamic controllability properties, such as fast response, control loop localization and to reduce time delays between the manipulated variables (u) and the controlled variables (c). For these cases, H is structured, for example, decentralized H or triangular H. The decentralized H is to obtain c as combination of measurements of a individual process unit. These structured H cases in self-optimizing control are non-convex. Hence, we propose a few new ideas and convex approximation methods to obtain good upper bounds for these structured H problems. The proposed methods are evaluated on random cases, an evaporator case study and a binary distillation column case study with 41 stages. Third contribution is to extend the self-optimizing control ideas to find optimal controlled variables in the regulatory layer. The regulatory layer is designed to facilitate stable operation, to regulate and to keep the operation in the linear operating range. The regulatory layer performance is quantified using the state drift criterion. Quantitative method for the regulatory layer selection with one, two or more closed loops is proposed to minimize the drift in states. The proposed quantitative methods are evaluated on a distillation column with 41 stages and a Kaibel column with 71 stages case studies. To summarize, in self-optimizing control, for selecting the controlled variables c as linear combinations of measurements y, c = Hy, (a) we developed MIQP methods that belong to a convex sub class to find globally optimal H and optimal measurement subsets; (b) we developed convex approximation methods to find good upper bounds to find optimal decentralized/triangular H and optimal measurement subsets; (c) we extended the self-optimizing control concepts to find c in the regulatory layer and proposed a quantitative method that minimizes the state drift to arrive at optimal regulatory layer with 1, 2 or more closed loops. In conclusion, we developed quantitative methods for controlled variables selection in both supervisory layer and regulatory control layer. We demonstrated the developed methods on a few representative case studies.
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Hall, Emma Louise. "Quantitative methods to assess cerebral haemodynamics." Thesis, University of Nottingham, 2012. http://eprints.nottingham.ac.uk/12673/.

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In this thesis methods for the assessment of cerebral haemodynamics using 7 T Magnetic Resonance Imaging (MRI) are described. The measurement of haemodynamic parameters, such as cerebral blood flow (CBF), is an important clinical tool. Arterial Spin Labelling (ASL) is a non-invasive technique for CBF measurement using MRI. ASL methodology for ultra high field (7 T) MRI was developed, including investigation of the optimal readout strategy. Look-Locker 3D-EPI is demonstrated to give large volume coverage improving on previous studies. Applications of methods developed to monitor functional activity, through flow or arterial blood volume, in healthy volunteers and in patients with low grade gliomas using Look-Locker ASL are described. The effect of an increased level of carbon dioxide in the blood (hypercapnia) was studied using ASL and functional MRI; hypercapnia is a potent vasodilator and has a large impact on haemodynamics. These measures were used to estimate the increase in oxygen metabolism associated with a simple motor task. To study the physiology behind the hypercapnic response, magnetoencephalography was used to measure the impact of hypercapnia on neuronal activity. It was shown that hypercapnia induces widespread desynchronisation in a wide frequency range, up to ~ 50 Hz, with peaks in the sensory-motor areas. This suggests that hypercapnia is not iso-metabolic, which is an assumption of calibrated BOLD. A Look-Locker gradient echo sequence is described for the quantitative monitoring of a gadolinium contrast agent uptake through the change in longitudinal relaxation rate. This sequence was used to measure cerebral blood volume in Multiple Sclerosis patients. Further development of the sequence yielded a high resolution anatomical scan with reduced artefacts due to field inhomogeneities associated with ultra high field imaging. This allows whole head images acquired at sub-millimetre resolution in a short scan time, for application in patient studies.
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Mougin, Olivier. "Quantitative methods in high field MRI." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/11608/.

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The increased signal-to-noise ratio available at high magnetic field makes possible the acquisition of clinically useful MR images either at higher resolution or for quantitative methods. The work in this thesis is focused on the development of quantitative imaging methods used to overcome difficulties due to high field MRI systems (> 3T). The protocols developed and presented here have been tested on various studies aiming at discriminating tissues based on their NMR properties. The quantities of interest in this thesis are the longitudinal relaxation time T1, as well as the magnetization transfer process, particularly the chemical exchange phenomenon involving amide protons which is highlighted particularly well at 7T under specific conditions. Both quantities (T1 and amide proton transfer) are related to the underlying structure of the tissues in-vivo, especially inside the white matter of the brain. While a standard weighted image at high resolution can provide indices of the extent of the pathology, a robust measure of the NMR properties of brain tissues can detect earlier abnormalities. A method based on a 3D Turbo FLASH readout and measuring reliably the T1 in-vivo for clinical studies at 7T is first presented. The other major part of this thesis presents magnetization transfer and chemical exchange phenomena. First a quantitative method is investigated at 7T, leading to a new model for exchange as well as contrast optimization possibility for imaging. Results using those methods are presented and applied in clinical setting, the main focus being to image reliably the brain of both healthy subjects and Multiple Sclerosis patients to look at myelin structures.
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Suwignjo, Patdono. "Quantitative methods for performance measurement systems." Thesis, University of Strathclyde, 1999. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21437.

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The business environment has changed dramatically since the 1980s. Many researchers have shown that the traditional financially-based performance measurement systems have failed to cope with the current dynamic business environment. Even although new performance measurement systems have been proposed, such as Activity-Based Costing, the Balanced Scorecard, the SMART system, the Performance Measurement Questionnaires and the Cambridge model, the problem of quantifying the interaction of the factors affecting business performance still remains. The objectives of this thesis are: 1. To develop a performance measurement system model that can be used to quantify the effects of factors on performance and consolidate them into a single performance indicator. 2. To develop a model for reducing the number of performance reports. 3. To carry out experiments for testing the validity, applicability and stability of the models developed. To achieve these objectives this thesis reviews research methodology literature, studies the traditional and new performance measurement systems, identifies the current problems of performance measurement systems, reviews existing methods for identifying, structuring and prioritising performance measures, reviews the multicriteria methods, studies the analytic hierarchy process (AHP) and its controversy, develops quantitative methods for performance measurement systems and carries out experiments to test the validity, stability and applicability of the methods developed. To quantify the effect of factors on performance and consolidate them into a single performance indicator a quantitative method for performance measurement system (QMPMS) was developed. The method uses cognitive maps for identifying factors affecting performance and their relationship, structured diagrams for structuring the factors hierarchically and analytic hierarchy process for quantifying the effects of factors on performance. The method was then extended to reduce the number of performance reports. The QMPMS and its extension were implemented in three case studies to test their theoretical and application validity. The first case study applied the models to 'J&B Scotland Ltd.' to identify whether the models can produce the intended outputs. The second case study applied the QMPMS to 'Seagate Distribution (UK) Ltd.' to test the validity (accuracy) and stability of the QMPMS. Finally, the third case implemented the QMPMS to quantify and consolidate Inland Revenue, Cumbernauld's performance measures. It was found from the experiments that the QMPMS is quite accurate (the mean percentage of deviation is less than 4 percent), stable for a reasonable period of time and it can be applied comfortably to real cases. The QMPMS is now being used by the Inland Revenue - Cumbernauld for producing a single performance indicator of their business processes and overall office.
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Fredriksen, Tonje Dobrowen. "Quantitative Doppler Methods in Cardiovascular Imaging." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for sirkulasjon og bildediagnostikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-27300.

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Ultrasound imaging of blood flow in the heart and blood vessels has become an essential part of diagnosing diseases related to the circulatory system. By using different Doppler methods, the blood flow may be visualized or quantified. In this work we take advantage of the opportunities given by the introduction of parallel processing of ultrasound data to develop new quantitative Doppler methods. Pulsed wave (PW) Doppler is a technique for measuring blood velocities, providing the full velocity spectrum in a specific region of interest. The maximum velocities may be found by delineation of the spectral envelope, and may be used to estimate the severity of stenoses or valve leakages. However, PW Doppler suffers from several challenges, which makes quantitative analysis problematic. To limit spectral broadening, we created a new method called 2-D tracking Doppler, which incorporates information from several parallel receive beams. Spectra with improved resolution and signal-to-noise ratio were produced for a large span of beam-to-flow angles. The new method was tested using in vitro and in vivo recordings. A signal model was derived and the expected Doppler power spectra were calculated, showing good agreement with experimental data. Experiments were performed to investigate how the 2-D tracking Doppler method depends on the tracking angle. It was shown that the spectra have lowest bandwidth and maximum power when the tracking angle is equal to the beam-to-flow angle. This may facilitate new techniques for velocity calibration. It was shown that the velocity calibration errors may be lower for the 2-D tracking Doppler method than for a conventional PW Doppler approach, and especially for large beam-to-flow angles. In heart disease, the quantification of valve regurgitation is a remaining challenge. In this thesis, we have investigated a new technique to estimate the size of regurgitant jets using spectral Doppler and parallel beamforming. A modality that uses high pulse repetition frequency 3-D Doppler was devised, to isolate the backscattered signal power from the vena contracta, that is the narrowest flow region of a regurgitant jet. A simulation study was performed to test and optimize the new method, suggesting a feasible setup for the transmit- and receive beams. Cross-sectional power Doppler images of simulated regurgitations of various sizes were generated, and the regurgitant volumes were accurately estimated. Since the velocity-time integral and the orifice area are extracted from a single recording, the proposed method may give more robust volume estimates than methods where the velocities and the area are measured from separate recordings.
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Herling, Therese Windelborg. "Microfluidic methods for quantitative protein studies." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709392.

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Books on the topic "Quantitative methods"

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Accountants, Chartered Institute of Management. Quantitative methods. London: Financial Training Company, 1991.

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Swift, Louise, and Sally Piff. Quantitative Methods. London: Macmillan Education UK, 2010. http://dx.doi.org/10.1007/978-0-230-36582-7.

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Brandimarte, Paolo. Quantitative Methods. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118023525.

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Swift, Louise, and Sally Piff. Quantitative Methods. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-33794-8.

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Oakshott, Les. Quantitative Methods. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-34086-3.

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Downing, Douglas. Quantitative methods. New York: Barron's, 1988.

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Hackett, Graham. Quantitative methods. London: Open Learning Foundation, 1994.

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Karam, Singh, ed. Quantitative methods. London: Butterworths, 1987.

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Frederick, Erickson, and American Educational Research Association, eds. Quantitative methods. New York: Macmillan, 1990.

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Hackett, Graham. Quantitative methods. London: Open Learning Foundation, 1994.

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Book chapters on the topic "Quantitative methods"

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Levesque, Roger J. R. "Quantitative Methods." In Encyclopedia of Adolescence, 2272–73. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1695-2_654.

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Ding, Wenjing. "Quantitative Methods." In Self-Excited Vibration, 80–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-69741-1_4.

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John, Peter. "Quantitative Methods." In Theory and Methods in Political Science, 216–30. London: Macmillan Education UK, 2002. http://dx.doi.org/10.1007/978-0-230-62889-2_11.

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Doménech-Carbó, Antonio, María Teresa Doménech-Carbó, and Virginia Costa. "Quantitative Methods." In Monographs in Electrochemistry, 95–121. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92868-3_4.

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Schutt, Russell K. "Quantitative Methods." In The Wiley-Blackwell Companion to Sociology, 55–72. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781444347388.ch3.

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Pettinger, Richard. "Quantitative methods." In Introduction to Management, 299–323. London: Macmillan Education UK, 1994. http://dx.doi.org/10.1007/978-1-349-23258-1_11.

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Tominc, Polona, and Vesna Čančer. "Quantitative Methods." In Spationomy, 39–63. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26626-4_2.

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Underwood, James Cressee Elphinstone. "Quantitative Methods." In Introduction to Biopsy Interpretation and Surgical Pathology, 161–76. London: Springer London, 1987. http://dx.doi.org/10.1007/978-1-4471-1473-4_10.

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Miller, W. L. "Quantitative Methods." In Theory and Methods in Political Science, 154–72. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-24106-4_9.

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Ershaghi, Iraj. "Quantitative Methods." In Solved Problems in Well Testing, 43–50. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-47299-2_4.

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Conference papers on the topic "Quantitative methods"

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Vainer, B. G., and A. S. Moskalev. "Heterogeneous thermograms: the methods of attack." In 2008 Quantitative InfraRed Thermography. QIRT Council, 2008. http://dx.doi.org/10.21611/qirt.2008.03_14_17.

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Barnard, Daniel J. "Development of Practical NDE Methods for Composite Aircraft Structures." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2006. http://dx.doi.org/10.1063/1.2184637.

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Morrison, Ann, Stephen Viller, Tamara Heck, and Kate Davis. "Mixing quantitative with qualitative methods." In OzCHI '17: 29th Australian Conference on Human-Computer Interaction. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3152771.3156195.

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DiVita, J., and R. L. Morris. "Quantitative methods for ranking critical events." In 2013 IEEE International Multi-Cognitive Methods in SituationDisciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2013). IEEE, 2013. http://dx.doi.org/10.1109/cogsima.2013.6523833.

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Wiecek, B., and J. Pacholik. "Technical methods of emissivity correction in thermography." In 1994 Quantitative InfraRed Thermography. QIRT Council, 1994. http://dx.doi.org/10.21611/qirt.1994.021.

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Brasche, L. J. H. "Characterization of Developer Application Methods Used in Fluorescent Penetrant Inspection." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2006. http://dx.doi.org/10.1063/1.2184582.

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Aldrin, John C. "Methodology Using Inverse Methods for Pit Characterization in Multilayer Structures." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2006. http://dx.doi.org/10.1063/1.2184604.

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Zhu, Yun. "Novel Methods for Crack Detection in Green and Sintered Parts." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2006. http://dx.doi.org/10.1063/1.2184701.

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Chady, T. "Evaluation of Stress Loaded Steel Samples Using Selected Electromagnetic Methods." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2004. http://dx.doi.org/10.1063/1.1711766.

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Nakahata, K. "Fast Imaging of 3-D Flaw Using Linearized Inverse Scattering Methods." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2004. http://dx.doi.org/10.1063/1.1711686.

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Reports on the topic "Quantitative methods"

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Chu, T. L., M. Yue, M. Martinez-Guridi, and J. Lehner. Review of Quantitative Software Reliability Methods. Office of Scientific and Technical Information (OSTI), September 2010. http://dx.doi.org/10.2172/1013511.

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Rexroth, Paul E., Leonard A. Malczynski, Gerald A. Hendrickson, Peter Holmes Kobos, and Laura A. McNamara. Modeling conflict : research methods, quantitative modeling, and lessons learned. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/919658.

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Fiddy, M. A. Studies of Quantitative Methods for Imaging from Scattered Fields. Fort Belvoir, VA: Defense Technical Information Center, November 1991. http://dx.doi.org/10.21236/ada244598.

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Czech, D. R. Quantitative Pricing Methods for Warranties on Air Force Contracts. Phase 2. Fort Belvoir, VA: Defense Technical Information Center, January 1985. http://dx.doi.org/10.21236/ada203971.

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Beck, R. N., M. Cooper, and C. T. Chen. Nuclear medicine and imaging research (instrumentation and quantitative methods of evaluation). Office of Scientific and Technical Information (OSTI), July 1992. http://dx.doi.org/10.2172/7236067.

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Waag, Robert C. New Methods for Quantitative, High-Resolution Ultrasonic Imaging of the Breast. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada346751.

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Beck, R., and M. Cooper. Nuclear medicine and imaging research (Instrumentation and quantitative methods of evaluation). Office of Scientific and Technical Information (OSTI), September 1989. http://dx.doi.org/10.2172/5261382.

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Watkins, Daphne C. Mixed Methods Research. Instats Inc., 2023. http://dx.doi.org/10.61700/02hov92mhf16c469.

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Abstract:
This seminar will provide depth and breadth on developing well-refined and theoretically driven mixed methods studies. It also teaches participants how to use appropriate methods and instruments during mixed methods data collection, integration, and analysis. The content will be enhanced by an overview of both qualitative and quantitative methods, separately, then together, to examine how the strengths of one outweigh the weakness of the other. An official Instats certificate of completion is provided at the conclusion of the seminar. The seminar offers 2 ECTS Equivalent points for European Ph.D. students.
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Watkins, Daphne C. Mixed Methods Research. Instats Inc., 2023. http://dx.doi.org/10.61700/waf99gpnher26469.

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Abstract:
This seminar will provide depth and breadth on developing well-refined and theoretically driven mixed methods studies. It also teaches participants how to use appropriate methods and instruments during mixed methods data collection, integration, and analysis. The content will be enhanced by an overview of both qualitative and quantitative methods, separately, then together, to examine how the strengths of one outweigh the weakness of the other. An official Instats certificate of completion is provided at the conclusion of the seminar. The seminar offers 2 ECTS Equivalent points for European Ph.D. students.
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Castle, James W., and Fred J. Molz. Quantitative Methods for Reservoir Characterization and Improved Recovery: Application to Heavy Oil Sands. Office of Scientific and Technical Information (OSTI), November 2001. http://dx.doi.org/10.2172/789030.

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