Relevant bibliographies by topics / Principal component regression and principal component analysis

Contents

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

Academic literature on the topic 'Principal component regression and principal component analysis'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Principal component regression and principal component analysis.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Principal component regression and principal component analysis"

1

Tucker, J. Derek, John R. Lewis, and Anuj Srivastava. "Elastic functional principal component regression." Statistical Analysis and Data Mining: The ASA Data Science Journal 12, no. 2 (2018): 101–15. http://dx.doi.org/10.1002/sam.11399.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Shin, Jae-Kyoung, Tomoyuki Tarumi, and Yutaka Tanaka. "SENSITIVITY ANALYSIS IN PRINCIPAL COMPONENT REGRESSION." Japanese Journal of Biometrics 10 (1989): 57–68. http://dx.doi.org/10.5691/jjb.10.57.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Liu, R. X., J. Kuang, Q. Gong, and X. L. Hou. "Principal component regression analysis with spss." Computer Methods and Programs in Biomedicine 71, no. 2 (2003): 141–47. http://dx.doi.org/10.1016/s0169-2607(02)00058-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Devi, S. Loidang, and Ksh Radheshyam Singh. "A principal component regression analysis in agriculture." Bulletin of Pure & Applied Sciences- Mathematics and Statistics 33e, no. 2 (2014): 105. http://dx.doi.org/10.5958/2320-3226.2014.00003.4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kyung, Minjung. "Bayesian analysis of principal component regression model." Journal of the Korean Data And Information Science Society 30, no. 2 (2019): 247–59. http://dx.doi.org/10.7465/jkdi.2019.30.2.247.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kyi, Lai Lai Khine, and Thi Soe Nyunt Thi. "Predictive geospatial analytics using principal component regression." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 2651–58. https://doi.org/10.11591/ijece.v10i3.pp2651-2658.

Full text
Abstract:
Nowadays, exponential growth in geospatial or spatial data all over the globe, geospatial data analytics is absolutely deserved to pay attention in manipulating voluminous amount of geodata in various forms increasing with high velocity. In addition, dimensionality reduction has been playing a key role in high-dimensional big data sets including spatial data sets which are continuously growing not only in observations but also in features or dimensions. In this paper, predictive analytics on geospatial big data using Principal Component Regression (PCR), traditional Multiple Linear Regression
APA, Harvard, Vancouver, ISO, and other styles
7

Hasegawa, Takeshi. "Spectral Simulation Study on the Influence of the Principal Component Analysis Step on Principal Component Regression." Applied Spectroscopy 60, no. 1 (2006): 95–98. http://dx.doi.org/10.1366/000370206775382749.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kyung, Minjung. "Bayesian analysis of quantile principal component regression model." Journal of the Korean Data And Information Science Society 32, no. 4 (2021): 739–55. http://dx.doi.org/10.7465/jkdi.2021.32.4.739.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

KONDO, Tadashi. "Revised GMDH Algorithm Using Principal Component-Regression Analysis." Transactions of the Institute of Systems, Control and Information Engineers 5, no. 10 (1992): 391–99. http://dx.doi.org/10.5687/iscie.5.391.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Dangar, Nikhil, and Pravin Vataliya. "Principal component regression analysis to predict lifetime milk yield of Jaffarabadi buffaloes." Buffalo Bulletin 43, no. 3 (2024): 441–49. http://dx.doi.org/10.56825/bufbu.2024.4334036.

Full text
Abstract:
The study aims to devise most appropriate prediction model for lifetime milk production of Jaffarabadi Buffalo, based on principal components formulated on initially expressed lactation records as predictors. Lactation milk yield, lactation period and peak milk yield records of first, second and third lactations of animals under study were used of 24 years (1987 to 2010). Principal components (PCs) were derived from data set using principal component regression analysis (PCRA), the principal components were used as predictors for predicting lifetime milk yield (LTMY). Multiple linear regressio
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Principal component regression and principal component analysis"

1

Fučík, Vojtěch. "Principal component analysis in Finance." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-264205.

Full text
Abstract:
The main objective of this thesis is to summarize and possibly interconnect the existing methodology on principal components analysis, hierarchical clustering and topological organization in the financial and economic networks, linear regression and GARCH modeling. In the thesis the clustering ability of PCA is compared with the more conventional approaches on a set of world stock market indices returns in different time periods where the time division is represented by The World Financial Crisis of 2007-2009. It is also observed whether the clustering of DJIA index components is underlied by
APA, Harvard, Vancouver, ISO, and other styles
2

Wang, Guoshen. "Analysis of Additive Risk Model with High Dimensional Covariates Using Correlation Principal Component Regression." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/math_theses/51.

Full text
Abstract:
One problem of interest is to relate genes to survival outcomes of patients for the purpose of building regression models to predict future patients¡¯ survival based on their gene expression data. Applying semeparametric additive risk model of survival analysis, this thesis proposes a new approach to conduct the analysis of gene expression data with the focus on model¡¯s predictive ability. The method modifies the correlation principal component regression to handle the censoring problem of survival data. Also, we employ the time dependent AUC and RMSEP to assess how well the model predicts th
APA, Harvard, Vancouver, ISO, and other styles
3

Jales, Juliana Viana. "A ImportÃncia da GestÃo no Desenvolvimento Municipal do Estado do CearÃ, 2009 a 2012." Universidade Federal do CearÃ, 2015. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=17144.

Full text
Abstract:
CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior<br>The role of Brazilian cities had great changes over the last twenty-six. The process of decentralization allowed with the 1988 Constitution aimed the financial and political strengthening of the states and especially the municipalities in relation to the federal government. Thus, given the cities greater autonomy, as became 'federative'. Areas such as health and education have gained proper attribution of the local governments and increase the administrative burden, thereby increasing the financial and cities now have to raise more
APA, Harvard, Vancouver, ISO, and other styles
4

Kallur, Ravi Lochan. "Novel approach to predict the crash testing data using multiple regression analysis and principal component analysis." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Zuzarte, Ian Jeromino. "A Principal Component Regression Analysis for Detection of the Onset of Nocturnal Hypoglycemia in Type 1 Diabetic Patients." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1226955083.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Lee, Ho-Jin. "Functional data analysis: classification and regression." Texas A&M University, 2004. http://hdl.handle.net/1969.1/2805.

Full text
Abstract:
Functional data refer to data which consist of observed functions or curves evaluated at a finite subset of some interval. In this dissertation, we discuss statistical analysis, especially classification and regression when data are available in function forms. Due to the nature of functional data, one considers function spaces in presenting such type of data, and each functional observation is viewed as a realization generated by a random mechanism in the spaces. The classification procedure in this dissertation is based on dimension reduction techniques of the spaces. One commonly used metho
APA, Harvard, Vancouver, ISO, and other styles
7

Emfevid, Lovisa, and Hampus Nyquist. "Financial Risk Profiling using Logistic Regression." Thesis, KTH, Matematisk statistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229821.

Full text
Abstract:
As automation in the financial service industry continues to advance, online investment advice has emerged as an exciting new field. Vital to the accuracy of such service is the determination of the individual investors’ ability to bear financial risk. To do so, the statistical method of logistic regression is used. The aim of this thesis is to identify factors which are significant in determining a financial risk profile of a retail investor. In other words, the study seeks to map out the relationship between several socioeconomic- and psychometric variables to develop a predictive model able
APA, Harvard, Vancouver, ISO, and other styles
8

Zuzarte, Ian. "A principal component regression analysis for detection of the onset of nocturnal hypoglycemia in Type I diabetic patients." Akron, OH : University of Akron, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=akron1226955083.

Full text
Abstract:
Thesis (M.S.)--University of Akron, Dept. of Biomedical Engineering, 2008.<br>"December, 2008." Title from electronic thesis title page (viewed 12/12/2009) Advisor, Dale H. Mugler; Committee members, Daniel B. Sheffer, Bruce C. Taylor; Department Chair, Daniel B. Sheffer; Dean of the College, George K. Haritos; Dean of the Graduate School, George R. Newkome. Includes bibliographical references.
APA, Harvard, Vancouver, ISO, and other styles
9

Amrani, Naoufal, Joan Serra-Sagrista, Miguel Hernandez-Cabronero, and Michael Marcellin. "Regression Wavelet Analysis for Progressive-Lossy-to-Lossless Coding of Remote-Sensing Data." IEEE, 2016. http://hdl.handle.net/10150/623190.

Full text
Abstract:
Regression Wavelet Analysis (RWA) is a novel wavelet-based scheme for coding hyperspectral images that employs multiple regression analysis to exploit the relationships among spectral wavelet transformed components. The scheme is based on a pyramidal prediction, using different regression models, to increase the statistical independence in the wavelet domain For lossless coding, RWA has proven to be superior to other spectral transform like PCA and to the best and most recent coding standard in remote sensing, CCSDS-123.0. In this paper we show that RWA also allows progressive lossy-to-lossles
APA, Harvard, Vancouver, ISO, and other styles
10

Maxwell, Kori Lloyd Hugh. "Logistic Regression Analysis to Determine the Significant Factors Associated with Substance Abuse in School-Aged Children." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/math_theses/67.

Full text
Abstract:
Substance abuse is the overindulgence in and dependence on a drug or chemical leading to detrimental effects on the individual’s health and the welfare of those surrounding him or her. Logistic regression analysis is an important tool used in the analysis of the relationship between various explanatory variables and nominal response variables. The objective of this study is to use this statistical method to determine the factors which are considered to be significant contributors to the use or abuse of substances in school-aged children and also determine what measures can be implemented to mi
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Principal component regression and principal component analysis"

1

Zhang, Wenfei. Regression based principal component analysis for sparse functional data with applications to screening pubertal growth paths. [publisher not identified], 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Jolliffe, I. T. Principal Component Analysis. Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4757-1904-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Jolliffe, I. T. Principal component analysis. 2nd ed. Springer, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Vidal, René, Yi Ma, and S. S. Sastry. Generalized Principal Component Analysis. Springer New York, 2016. http://dx.doi.org/10.1007/978-0-387-87811-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

J, Dunn W., Scott D. R. 1934-, and United States. Environmental Protection Agency., eds. Principal components analysis and partial least squares regression. U.S. Environmental Protection Agency, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Naik, Ganesh R., ed. Advances in Principal Component Analysis. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6704-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Sanguansat, Parinya. Principal component analysis - multidisciplinary applications. InTech, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Hyvarinen, Aapo. Independent component analysis. J. Wiley, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Juha, Karhunen, and Oja Erkki, eds. Independent component analysis. J. Wiley, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Kong, Xiangyu, Changhua Hu, and Zhansheng Duan. Principal Component Analysis Networks and Algorithms. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2915-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Principal component regression and principal component analysis"

1

Jolliffe, I. T. "Principal Components in Regression Analysis." In Principal Component Analysis. Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4757-1904-8_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Deshmukh, Rushali A., Prachi Jadhav, Sakshi Shelar, Ujwal Nikam, Dhanshri Patil, and Rohan Jawale. "Stock Price Prediction Using Principal Component Analysis and Linear Regression." In Emerging Technologies in Data Mining and Information Security. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4052-1_28.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Guoqi, Long. "Research on Economic Growth Based on MCMC Principal Component Regression Analysis." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62743-0_98.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Agarwal, Neetu, Susmita Ray, and K. C. Tripathi. "Enhancing Cotton Crop Yield Prediction Through Principal Component Analysis and Regression Modelling." In Innovative Computing and Communications. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3588-4_20.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kozłowski, Edward, Dariusz Mazurkiewicz, Jarosław Sȩp, and Tomasz Żabiński. "The Use of Principal Component Analysis and Logistic Regression for Cutter State Identification." In Innovations in Industrial Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78170-5_34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Arakali, V. S. "Application of Ridge Regression and Principal Component Analysis to Specialty Glass Data for Encapsulation of Nuclear Waste." In Risk Analysis. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-0730-1_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Ravi, Vadlamani, and Ranabir De. "Principal Component Analysis and General Regression Auto Associative Neural Network Hybrid as One-Class Classifier." In Swarm, Evolutionary, and Memetic Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20294-5_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bonham-Carter, G. F., and E. C. Grunsky. "Two Ideas for Analysis of Multivariate Geochemical Survey Data: Proximity Regression and Principal Component Residuals." In Handbook of Mathematical Geosciences. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78999-6_23.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Cajilima, Wilson, and Pablo Arévalo. "Multi-Method Spectral Predictive Models with FTIR-ATR in the Simultaneous Quantification of Ethanol and Legal Methanol Limits in Ecuadorian Clear Spirits." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87065-1_7.

Full text
Abstract:
Abstract In this research, the feasibility of employing multiple machine learning algorithms with FTIR-ATR spectroscopy for the simultaneous quantification of ethanol and legal limits of methanol in distilled and artisanal beverages characteristic of Ecuador is investigated, based on spectral matrix similarity. Initially, spectra acquired in the range of 4000 to 400 $${\text{cm}}^{-1}$$ cm - 1 underwent spectral preprocessing including baseline correction, smoothing, normalization, first and second derivative, and their combinations. Forty-eight distinct treatments were used to construct model
APA, Harvard, Vancouver, ISO, and other styles
10

Bellemans, Aurélie, Mohammad Rafi Malik, Fabrizio Bisetti, and Alessandro Parente. "A Machine-Learning Framework for Plasma-Assisted Combustion Using Principal Component Analysis and Gaussian Process Regression." In Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80542-5_23.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Principal component regression and principal component analysis"

1

Wicaksono, Pramaditya, Setiawan Djody Harahap, Muhammad Kamal, and Candra S. D. Kartika. "Comparison of corrected surface reflectance, principal component analysis, and kernel principal component analysis for seagrass percent cover mapping using Sentinel-2 based on various regression models." In Active and Passive Remote Sensing of Oceans, Seas, and Lakes, edited by Kuo-Hsin Tseng, Robert J. Frouin, Jong-Kuk Choi, and Hiroshi Murakami. SPIE, 2025. https://doi.org/10.1117/12.3038301.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Salian, Shravya, S. Cherishma, and Omkar S. Powar. "Enhanced Brain Tumor Detection using Support Vector Classifier and Logistic Regression with Principal Component Analysis." In 2024 Control Instrumentation System Conference (CISCON). IEEE, 2024. http://dx.doi.org/10.1109/ciscon62171.2024.10696269.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Routh, Bikky, Vikram Kumawat, Arijit Guha, Siddhartha Mukhopadhyay, and Amit Patra. "State-of-Health Estimation of Li-ion Batteries using Multiple Linear Regression and Optimized Feature Extraction based on Principal Component Analysis." In 2024 IEEE International Conference on Prognostics and Health Management (ICPHM). IEEE, 2024. http://dx.doi.org/10.1109/icphm61352.2024.10626868.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Bhalla, Akshit. "Reverse Principal Component Analysis for Multi-Output Regression." In 2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA). IEEE, 2020. http://dx.doi.org/10.1109/accthpa49271.2020.9213193.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Maenaka, T., K. Honda, and H. Ichihashi. "Local Independent Component Analysis with Fuzzy Clustering and Regression-principal Component Analysis." In 2006 IEEE International Conference on Fuzzy Systems. IEEE, 2006. http://dx.doi.org/10.1109/fuzzy.2006.1681811.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Chen, Ming-ming, and Jing-lian Ma. "Application of Principal Component Regression Analysis in Economic Analysis." In 3rd International Conference on Management Science, Education Technology, Arts, Social Science and Economics. Atlantis Press, 2015. http://dx.doi.org/10.2991/msetasse-15.2015.255.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Arai, Rei, Taichi Nishiyama, Naoki Nakatani, and Taketoshi Okuno. "Spectrophotometric Determination of Nutrients Using Principal Component Regression." In ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/omae2009-79304.

Full text
Abstract:
Certain environmental factors such as salinity, dissolved oxygen and chlorophyll concentration can be measured by electric or optical sensors, enabling continuous and automatic measurement with high resolution in time and space. Such measurement is of great importance in the monitoring of marine environments. In order to understand the ecosystem of the sea in detail, the distribution of and changes in nutrient concentrations should be measured in terms of primary production. Generally, since seawater contains high concentrations of chloride, bromide and so on, nutrients must be extracted from
APA, Harvard, Vancouver, ISO, and other styles
8

Yuling, Yang, Guo Xinliang, Cui Zhaolun, et al. "Quantitative infrared spectrum detection of SF6 decomposition components based on principal component regression analysis." In 2017 China International Electrical and Energy Conference (CIEEC). IEEE, 2017. http://dx.doi.org/10.1109/cieec.2017.8388552.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Rocha, Humberto, Wu Li, and Andrew Hahn. "Principal Component Regression for Fitting Wing Weight Data of Subsonic Transports." In 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-7052.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Young, Richard A. "Principal component analysis of macaque LGN cell chromatic data." In OSA Annual Meeting. Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oam.1986.tuh4.

Full text
Abstract:
The spectral curves of LGN cells from a famous study1 were subjected to principal component analysis to determine the minimal set of basis vectors needed to describe the data. Over 92% of the variability in the 441 spectral curves (147 cells measured at three intensity levels) could be described by a unique orthonormal set of three basis vectors. Every cell’s spectral curve could be represented as a linear combination of these vectors, with minimal loss of information. An orthogonal rotation of the vectors, which preserves all Euclidean chromatic distances in the color space spanned by the vec
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Principal component regression and principal component analysis"

1

Krishnaiah, P. R., and S. Sarkar. Principal Component Analysis Under Correlated Multivariate Regression Equations Model. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada160266.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Iurasova, Olga, Larysa Ivashko, Oleksandr Maksymov, and Julia Maksymova. Impact of Return on Education on Economic Growth in EU Countries. Vilnius Business College, 2024. https://doi.org/10.57005/ab.2024.2.6.

Full text
Abstract:
The objective of this article is to assess the impact of returns on the education and professional skills of workers on economic growth in EU countries. Based on open data, two principal components were formed to identify the aggregated influence of selected indicators on GDP growth. These principal components allow for the evaluation of the degree of influence of education and professional skills of workers on GDP growth for each country. Countries were clustered according to the degree of influence of the obtained principal components on the level of economic development using the k-means me
APA, Harvard, Vancouver, ISO, and other styles
3

MARTIN, SHAWN B. Kernel Near Principal Component Analysis. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/810934.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Hamilton, James, and Jin Xi. Principal Component Analysis for Nonstationary Series. National Bureau of Economic Research, 2024. http://dx.doi.org/10.3386/w32068.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Aït-Sahalia, Yacine, and Dacheng Xiu. Principal Component Analysis of High Frequency Data. National Bureau of Economic Research, 2015. http://dx.doi.org/10.3386/w21584.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

สิริภัทราวรรณ, อุบลรัตน์, та สุวัสสา พงษ์อำไพ. การประเมินอายุการเก็บแบบรวดเร็วของผลิตภัณฑ์อาหารแปรรูปโดยใช้ NIR specytoscopy และ Chemometrics : รายงานการวิจัย. จุฬาลงกรณ์มหาวิทยาลัย, 2014. https://doi.org/10.58837/chula.res.2014.58.

Full text
Abstract:
งานวิจัยนี้พัฒนาการประเมินคุณภาพและอายุการเก็บของผลิตภัณฑ์อาหารแปรรูปพร้อมบริโภค ด้วยวิธี แบบรวดเร็วโดยใช้ NIR spectroscopy ร่วมกับ chemometrics ทำโดยเตรียมผลิตภัณฑ์ไส้กรอกหมูบรรจุใน ถุงพลาสติกภายใต้ภาวะสุญญากาศและเก็บรักษาที่อุณหภูมิ 4 °C ติดตามการเปลี่ยนแปลงคุณภาพทางเคมี (ค่า pH) ทางกายภาพ (ค่าแรงตัดขาด และ ค่าสี) ทางจุลินทรีย์ (จำนวนแบคทีเรียทั้ง หมด และ แบคทีเรียแลกติก) และทาง ประสาทสัมผัส (odor, color, appearance และ overall acceptability) ของผลิตภัณฑ์ในระหว่างการเก็บรักษา รวมทั้งวิเคราะห์โดยใช้ near infrared spectroscopy จากผลการทดลองพบว่า ผลิตภัณฑ์มีค่า pH ค่าแรงตัดขาด ค่าสี (L* (ความเข
APA, Harvard, Vancouver, ISO, and other styles
7

Eick, Brian, Zachary Treece, Billie Spencer, et al. Miter gate gap detection using principal component analysis. Engineer Research and Development Center (U.S.), 2018. http://dx.doi.org/10.21079/11681/27365.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Federer, W. T., C. E. McCulloch, and J. J. Miles-McDermott. Illustrative Examples of Principal Component Analysis Using SYSTAT/FACTOR. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada184920.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Federer, W. T., C. E. McCulloch, and N. J. Miles-McDermott. Illustrative Examples of Principal Component Analysis using BMDP/4M. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada185179.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Thompson, David C., Janine C. Bennett, Diana C. Roe, and Philippe Pierre Pebay. Scalable multi-correlative statistics and principal component analysis with Titan. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/984172.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Principal component regression and principal component analysis' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography