Relevant bibliographies by topics / Nonlinear statistical models

Contents

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

Academic literature on the topic 'Nonlinear statistical models'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Nonlinear statistical models"

1

Ford, I., and A. R. Gallant. "Nonlinear Statistical Models." Biometrics 45, no. 2 (1989): 694. http://dx.doi.org/10.2307/2531513.

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Wolak, Frank A., and A. Ronald Gallant. "Nonlinear Statistical Models." Journal of Business & Economic Statistics 6, no. 4 (1988): 518. http://dx.doi.org/10.2307/1391473.

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Tsai, Chih-Ling, and A. Ronald Gallant. "Nonlinear Statistical Models." Journal of the American Statistical Association 84, no. 405 (1989): 336. http://dx.doi.org/10.2307/2289891.

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Bates, Douglas. "Nonlinear Statistical Models." Technometrics 30, no. 4 (1988): 453–54. http://dx.doi.org/10.1080/00401706.1988.10488443.

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Katti, S. K., and Prabha Betne. "Nonlinear Statistical Models." Technometrics 36, no. 4 (1994): 433–34. http://dx.doi.org/10.1080/00401706.1994.10485867.

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Parker, Gene. "Statistical change detection using nonlinear models." Journal of the Acoustical Society of America 101, no. 5 (1997): 3044. http://dx.doi.org/10.1121/1.418677.

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Duffin, Connor, Edward Cripps, Thomas Stemler, and Mark Girolami. "Statistical finite elements for misspecified models." Proceedings of the National Academy of Sciences 118, no. 2 (2020): e2015006118. http://dx.doi.org/10.1073/pnas.2015006118.

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We present a statistical finite element method for nonlinear, time-dependent phenomena, illustrated in the context of nonlinear internal waves (solitons). We take a Bayesian approach and leverage the finite element method to cast the statistical problem as a nonlinear Gaussian state–space model, updating the solution, in receipt of data, in a filtering framework. The method is applicable to problems across science and engineering for which finite element methods are appropriate. The Korteweg–de Vries equation for solitons is presented because it reflects the necessary complexity while being su
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Dare, Tyler, Rebecca McDaniel, and Ayesha Shah. "Nonlinear, statistical models of tire-pavement noise." Noise Control Engineering Journal 64, no. 3 (2016): 324–34. http://dx.doi.org/10.3397/1/376382.

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Zhu, Hong-Tu, and Sik-Yum Lee. "Statistical analysis of nonlinear factor analysis models." British Journal of Mathematical and Statistical Psychology 52, no. 2 (1999): 225–42. http://dx.doi.org/10.1348/000711099159080.

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Lin, Jin-Guan, Feng-Chang Xie, and Bo-Cheng Wei. "Statistical Diagnostics for Skew-t-Normal Nonlinear Models." Communications in Statistics - Simulation and Computation 38, no. 10 (2009): 2096–110. http://dx.doi.org/10.1080/03610910903249502.

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Dissertations / Theses on the topic "Nonlinear statistical models"

1

黃鎮山 and Chun-shan Wong. "Statistical inference for some nonlinear time series models." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31239444.

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Wong, Chun-shan. "Statistical inference for some nonlinear time series models /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20715316.

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Lin, Zhongli, and 林中立. "On the statistical inference of some nonlinear time series models." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43757625.

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Lin, Zhongli. "On the statistical inference of some nonlinear time series models." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B43757625.

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Pfleger, Phillip Isaac. "Exploring Fit for Nonlinear Structural Equation Models." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7370.

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Fit indices and fit measures commonly used to determine the accuracy and desirability of structural equation models are expected to be insensitive to nonlinearity in the data. This includes measures as ubiquitous as the CFI, TLI, RMSEA, SRMR, AIC, and BIC. Despite this, some software will report these measures when certain models are used. Consequently, some researchers may be led to use these fit measures without realizing the impropriety of the act. Alternative fit measures have been proposed, but these measures require further testing. As part of this thesis, a large simulation study was
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Lim, Changwon Sen Pranab Kumar. "Statistical theory and robust methodology for nonlinear models with application to toxicology." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2009. http://dc.lib.unc.edu/u?/etd,2268.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2009.<br>Title from electronic title page (viewed Jun. 26, 2009). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Statistics and Operations Research." Discipline: Statistics and Operations Research; Department/School: Statistics and Operations Research.
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Chatora, Tinashe. "Joint models for nonlinear longitudinal profiles in the presence of informative censoring." Doctoral thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29564.

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Malaria is the parasitic disease which affects the most humans, with Plasmodium falciparum malaria being responsible for the majority of severe malaria and malaria related deaths. The asexual form of the parasite causes the signs and symptoms associated with malaria infection. The sexual form of the parasite, also known as a gametocyte, is the stage responsible for infectivity of the human host (patient) to the mosquito vector, and thus ongoing transmission of malaria and the spread of antimalarial drug resistance. Historically malaria therapeutic efficacy studies have focused mainly on the cl
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Wu, Ling. "Stochastic Modeling and Statistical Analysis." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1813.

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The objective of the present study is to investigate option pricing and forecasting problems in finance. This is achieved by developing stochastic models in the framework of classical modeling approach. In this study, by utilizing the stock price data, we examine the correctness of the existing Geometric Brownian Motion (GBM) model under standard statistical tests. By recognizing the problems, we attempted to demonstrate the development of modified linear models under different data partitioning processes with or without jumps. Empirical comparisons between the constructed and GBM models are o
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Curtis, S. McKay. "The "fair" triathlon : equating standard deviations using non-linear Bayesian models /." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd428.pdf.

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Freeman, Laura J. "Statistical Methods for Reliability Data from Designed Experiments." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/37729.

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Product reliability is an important characteristic for all manufacturers, engineers and consumers. Industrial statisticians have been planning experiments for years to improve product quality and reliability. However, rarely do experts in the field of reliability have expertise in design of experiments (DOE) and the implications that experimental protocol have on data analysis. Additionally, statisticians who focus on DOE rarely work with reliability data. As a result, analysis methods for lifetime data for experimental designs that are more complex than a completely randomized design are extr
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Books on the topic "Nonlinear statistical models"

1

Nonlinear statistical models. Wiley, 1987.

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Pázman, Andrej. Nonlinear statistical models. Kluwer Academic Publishers, 1993.

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Gallant, A. Ronald, ed. Nonlinear Statistical Models. John Wiley & Sons, Inc., 1987. http://dx.doi.org/10.1002/9780470316719.

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Pázman, Andrej. Nonlinear Statistical Models. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2450-0.

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Jonsson, Fan Yang. Non-linear structural equation models: Simulation studies of the Kenny-Judd model. Uppsala University, 1997.

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Grafarend, Erik. Linear and Nonlinear Models: Fixed effects, random effects, and total least squares. Springer Berlin Heidelberg, 2012.

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Stock, James H. A comparison of linear and nonlinear univariate models for for[e]casting macroeconomic time series. National Bureau of Economic Research, 1998.

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Oono, Yoshitsugu. The Nonlinear World: Conceptual Analysis and Phenomenology. Springer Japan, 2013.

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Takeshi, Amemiya, Hsiao Cheng 1943-, Morimune Kimio, and Powell James 1955-, eds. Nonlinear statistical modeling: Proceedings of the thirteenth International Symposium in Economic Theory and Econometrics : essays in honor of Takeshi Amemiya. Cambridge University Press, 2001.

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Exponential family nonlinear models. Springer, 1998.

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Book chapters on the topic "Nonlinear statistical models"

1

Kitsos, Christos P. "Nonlinear Models." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_407.

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Kolaczyk, Eric D., and Robert D. Nowak. "Multiscale Statistical Models." In Nonlinear Estimation and Classification. Springer New York, 2003. http://dx.doi.org/10.1007/978-0-387-21579-2_14.

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Pázman, Andrej. "Nonlinear exponential families." In Nonlinear Statistical Models. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2450-0_10.

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Pázman, Andrej. "Linear regression models." In Nonlinear Statistical Models. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2450-0_2.

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Pázman, Andrej. "Univariate regression models." In Nonlinear Statistical Models. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2450-0_4.

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Pázman, Andrej. "Introduction." In Nonlinear Statistical Models. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2450-0_1.

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Pázman, Andrej. "Linear methods in nonlinear regression models." In Nonlinear Statistical Models. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2450-0_3.

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Pázman, Andrej. "The structure of a multivariate nonlinear regression model and properties of L2 estimators." In Nonlinear Statistical Models. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2450-0_5.

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Pázman, Andrej. "Nonlinear regression models: computation of estimators and curvatures." In Nonlinear Statistical Models. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2450-0_6.

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Pázman, Andrej. "Local approximations of probability densities and moments of estimators." In Nonlinear Statistical Models. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2450-0_7.

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Conference papers on the topic "Nonlinear statistical models"

1

Briers, M., A. Doucet, S. S. Singh, and K. Weekes. "Particle Filters for Graphical Models." In 2006 IEEE Nonlinear Statistical Signal Processing Workshop. IEEE, 2006. http://dx.doi.org/10.1109/nsspw.2006.4378820.

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Cemgil, A. Taylan. "Sequential Inference for Factorial Changepoint Models." In 2006 IEEE Nonlinear Statistical Signal Processing Workshop. IEEE, 2006. http://dx.doi.org/10.1109/nsspw.2006.4378855.

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Julier, Simon J., Tim Bailey, and Jeffrey K. Uhlmann. "Using Exponential Mixture Models for Suboptimal Distributed Data Fusion." In 2006 IEEE Nonlinear Statistical Signal Processing Workshop. IEEE, 2006. http://dx.doi.org/10.1109/nsspw.2006.4378844.

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Yu, Byron M., Krishna V. Shenoy, and Maneesh Sahani. "Expectation Propagation for Inference in Non-Linear Dynamical Models with Poisson Observations." In 2006 IEEE Nonlinear Statistical Signal Processing Workshop. IEEE, 2006. http://dx.doi.org/10.1109/nsspw.2006.4378825.

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Pradeepa, R., and G. V. Anand. "Estimation of Signals in Colored Non Gaussian Noise Based on Gaussian Mixture Models." In 2006 IEEE Nonlinear Statistical Signal Processing Workshop. IEEE, 2006. http://dx.doi.org/10.1109/nsspw.2006.4378810.

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van Leeuwen, Peter Jan. "Efficient nonlinear data assimilation for oceanic models of intermediate complexity." In 2011 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2011. http://dx.doi.org/10.1109/ssp.2011.5967700.

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Boudineau, Megane, Herve Carfantan, Sebastien Bourguignon, and Michael Bazot. "Sampling schemes and parameter estimation for nonlinear Bernoulli-Gaussian sparse models." In 2016 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2016. http://dx.doi.org/10.1109/ssp.2016.7551706.

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Ibarra-Manzano, Oscar G., Felipe Ramirez-Echeverria, and Yuriy S. Shmaliy. "Extended UFIR filtering of nonlinear models corrupted by white Gaussian noise." In 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2012. http://dx.doi.org/10.1109/ssp.2012.6319700.

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Takeuchi, Yohei, Momoyo Ito, and Minoru Fukumi. "Nonlinear Eigenspace Models based on Fast Statistical Learning Algorithm." In Parallel and Distributed Computing and Systems. ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.790-048.

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Roth, Ilan, Dimitris Vassiliadis, Shing F. Fung, Xi Shao, Ioannis A. Daglis, and Joseph D. Huba. "Statistical Models of Power-law Distributions in Homogeneous Plasmas." In MODERN CHALLENGES IN NONLINEAR PLASMA PHYSICS: A Festschrift Honoring the Career of Dennis Papadopoulos. AIP, 2011. http://dx.doi.org/10.1063/1.3544343.

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