Academic literature on the topic 'Block Statistics'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Block Statistics.'
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 "Block Statistics"
Zhang, Lei, Guo Qiang Lv, Fen Liu, and Xi Tiao Zhang. "Multi-Block Gray Statistics Local Dimming Algorithm." Applied Mechanics and Materials 321-324 (June 2013): 503–6. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.503.
Full textKunert, Joachim. "Optimality of block designs with variable block sizes and random block effects." Metrika 41, no. 1 (December 1994): 71–81. http://dx.doi.org/10.1007/bf01895306.
Full textAmarioarei, Alexandru, and Cristian Preda. "One Dimensional Discrete Scan Statistics for Dependent Models and Some Related Problems." Mathematics 8, no. 4 (April 13, 2020): 576. http://dx.doi.org/10.3390/math8040576.
Full textIglesias, Emma M. "The Block-Block Bootstrap for Time Series." Communications in Statistics - Theory and Methods 42, no. 14 (June 3, 2013): 2584–600. http://dx.doi.org/10.1080/03610926.2011.611605.
Full textFoldnes, Njål, and Steffen Grønneberg. "Approximating Test Statistics Using Eigenvalue Block Averaging." Structural Equation Modeling: A Multidisciplinary Journal 25, no. 1 (October 20, 2017): 101–14. http://dx.doi.org/10.1080/10705511.2017.1373021.
Full textLahiri, S. N. "ON THE JACKKNIFE-AFTER-BOOTSTRAP METHOD FOR DEPENDENT DATA AND ITS CONSISTENCY PROPERTIES." Econometric Theory 18, no. 1 (February 2002): 79–98. http://dx.doi.org/10.1017/s0266466602181059.
Full textGupta, V. K., A. Das, and A. Dey. "Universal optimality of block designs with unequal block sizes." Statistics & Probability Letters 11, no. 2 (February 1991): 177–80. http://dx.doi.org/10.1016/0167-7152(91)90139-i.
Full textSinha, K., and B. Jones. "Further equireplicate balanced block designs with unequal block sizes." Statistics & Probability Letters 6, no. 4 (March 1988): 229–30. http://dx.doi.org/10.1016/0167-7152(88)90065-x.
Full textXie, Junshan, and Gaoming Sun. "A test for block circular symmetric covariance structure with divergent dimension." ESAIM: Probability and Statistics 23 (2019): 672–96. http://dx.doi.org/10.1051/ps/2019020.
Full textLu, Ta Te. "Significant Features Selection Resistant to Temporal Distortions." Applied Mechanics and Materials 284-287 (January 2013): 3154–58. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3154.
Full textDissertations / Theses on the topic "Block Statistics"
Wang, Xiaopei. "Multi-Way Block Models." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342716695.
Full textSchmidt, Daniel F. "Eigenvalue Statistics for Random Block Operators." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/51851.
Full textPh. D.
Estmark, Andreas. "Text Block Prediction and Article Reconstruction Using BERT." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447248.
Full textHemmer, Michael Toshiro. "Nonparametric Test for the Umbrella Alternative in a Randomized Complete Block and Balanced Incomplete Block Mixed Design." Thesis, North Dakota State University, 2012. https://hdl.handle.net/10365/26696.
Full textChang, Yueh-Jane. "Optimal block designs with nested rows and columns /." The Ohio State University, 1989. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487671108307662.
Full textBortnick, Steven M. "Optimal block designs for simultaneous comparison of test treatments with a control /." The Ohio State University, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488192447429755.
Full textNdungu, Alfred Mungai. "A Nonparametric Test for the Non-Decreasing Alternative in an Incomplete Block Design." Thesis, North Dakota State University, 2011. https://hdl.handle.net/10365/29772.
Full textAmărioarei, Alexandru. "Approximations for multidimensional discrete scan statistics." Thesis, Lille 1, 2014. http://www.theses.fr/2014LIL10073/document.
Full textIn this thesis, we derive accurate approximations and error bounds for the probability distribution of the multidimensional discrete scan statistics. We start by improving some existing results concerning the estimation of the distribution of extremes of 1-dependent stationary sequences of random variables, both in terms of range of applicability and sharpness of the error bound. These estimates play the key role in the approximation process of the multidimensional discrete scan statistics distribution. The presented methodology has two main advantages over the existing ones found in the literature: first, beside the approximation formula, an error bound is also established and second, the approximation does not depend on the common distribution of the observations. For the underlying random field under which the scan process is evaluated, we consider two models: the classical model, of independent and identically distributed observations and a dependent framework, where the observations are generated by a block-factor. In the i.i.d. case, in order to illustrate the accuracy of our results, we consider the particular settings of one, two and three dimensions. A simulation study is conducted where we compare our estimate with other approximations and inequalities derived in the literature. The numerical values are efficiently obtained via an importance sampling algorithm discussed in detail in the text. Finally, we consider a block-factor model for the underlying random field, which consists of dependent data and we show how to extend the approximation methodology to this case. Several examples in one and two dimensions are investigated
Shu, Xiaohua. "BLOCK DESIGNS UNDER AUTOCORRELATED ERRORS." Diss., Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/154927.
Full textPh.D.
This research work is focused on the balanced and partially balanced incomplete block designs when observations within blocks are correlated. The topic for this dissertation was motivated by a problem in pharmaceutical research, when several treatments are allocated to individuals, and repeated measurements are taken on each individual. In that case, there is correlation among the observations taken on the same individual. Typically, it is reasonable to assume that the observations within individual close to each other are highly correlated than observations that are far away from each other. It is also reasonable to assume that the correlation between any two observations within each individual is same. We have characterized balanced and partially balanced incomplete block designs when observations within blocks are autocorrelated. In Chapter 3, we have provided an explicit expression for the average variance of estimated elementary treatment contrasts for designs obtained by Type I and II series of orthogonal arrays, under autocorrelated errors, and compared them with the corresponding balanced incomplete block designs with uncorrelated errors. The relative efficiency of balanced incomplete block design compared to the corresponding balanced incomplete block design obtained by Types I and II series of orthogonal array under autocorrelated errors does not depend on the number of treatments (v) and is an increasing function of the block size (k). When orthogonal arrays of Type I or Type II do not exist for a given number of treatments, we provided alternative partially balanced designs with autocorrelated errors. In Chapter 4, we rearranged the treatments in each block of symmetric balanced incomplete block designs and used them with autocorrelated error structure of the plots in a block. The C-matrix of estimated treatment effects under autocorrelation was given and the relative efficiency of symmetric balanced incomplete block designs with independent errors compared to the autocorrelated designs is given. In Chapter 5, we discussed the compound symmetry correlation structure within blocks. An explicit expression of the average variance of designs obtained by Type I and II series of orthogonal arrays and symmetric balanced incomplete block designs under compound symmetric errors has been provided and compared them with the corresponding balanced incomplete block designs with uncorrelated errors. Finally, the relative efficiencies of these designs with autocorrelated errors vs. compound symmetric error structure are given
Temple University--Theses
Kim, Hang. "TIME SERIES BLOCK BOOTSTRAP APPLICATION AND EFFECT OF AGGREGATION AND SYSTEMATIC SAMPLING." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/490644.
Full textPh.D.
In this dissertation, we review the basic properties of the bootstrap and time series application. Then we apply parametric bootstrap on three simulated normal i.i.d. samples and nonparametric bootstrap on four real life financial returns. Among the time series bootstrap methods, we look into the specific method called block bootstrap and investigate the block length consideration to properly select a suitable block size for AR(1) model. We propose a new rule of blocking named as Combinatorially-Augmented Block Bootstrap(CABB). We compare the existing block bootstrap and CABB method using the simulated i.i.d. samples, AR(1) time series, and the real life examples. Both methods perform equally well in estimating AR(1) coefficients. CABB produces a smaller standard deviation based on our simulated and empirical studies. We study two procedures of collecting time series, (i) aggregation of a flow variable and (ii) systematic sampling of a stock variable. In these two procedures, we derive theorems that calculate exact equations for $m$ aggregated and $m^{th}$ systematically sampled series of the original AR(1) model. We evaluate the performance of block bootstrap estimation of the parameters of ARMA(1,1) and AR(1) model using aggregated and systematically sampled series. Simulation and real data analyses show that in some cases, the performance of the estimation based on the block bootstrap method for the MA(1) parameter of the ARMA(1,1) model in aggregated series is better than the one without using bootstrap. In an extreme case of stock price movement, which is close to a random walk, the block bootstrap estimate using systematically sampled series is closer to the true parameter, defined as the parameter calculated by the theorem. Specifically, the block bootstrap estimate of the parameter of AR(1) model using the systematically sampled series is closer to phi(n) than that based on the MLE for the AR(1) model. Future research problems include theoretical investigation of CABB, effectiveness of block bootstrap in other time series analyses such as nonlinear or VAR.
Temple University--Theses
Books on the topic "Block Statistics"
Chartered Institute of Public Finance and Accountancy. Block grant statistics 1988-89. London: CIPFA, 1988.
Find full text1938-, Herrendörfer Günter, ed. Experimental design: Sample size determination and block designs. Dordrecht: D. Reidel Pub. Co., 1986.
Find full text1945-, Kageyama Sanpei, ed. Block designs: A randomization approach. New York: Springer, 2000.
Find full textLink, Carol L. Statistical determination of preservative threshold retention in soil block tests. [Madison, Wis.?: Forest Products, 1988.
Find full textJoshi, Hem Lata. Educational development index-Rajasthan: Spatio-temporal appraisal at panchayat samiti/block level, 1991-2000. Jaipur: University Book House, 2003.
Find full textJoshi, Hem Lata. Economic development index, Rajasthan: Spatio-temporal & gender appraisal at panchayat samiti/block level. Jaipur: University Book House, 2005.
Find full textLindgren, Sue A. Justice variable passthrough data, 1988: Anti-drug abuse formula grants. [Washington, D.C.]: U.S. Dept. of Justice, Office of Justice Programs, Bureau of Justice Statistics, 1990.
Find full textJoice, Paul. Redistribution effect of introducing 2010 Census and 2005-2009 ACS data into the CDBG formula. Washington, DC: U.S. Department of Housing and Urban Development, Office of Policy Development and Research, 2011.
Find full textCarroll, Gary L. Timber resource statistics for the Beluga block, Susitna River Basin multiresource inventory unit, Alaska, 1980. Portland, Or: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Forest and Range Experiment Station, 1985.
Find full textMead, Bert R. Timber resource statistics for the Upper Susitna block, Susitna River Basin Multiresource inventory unit, Alaska, 1980. Portland, Or: Pacific Northwest Forest and Range Experiment Station, U.S. Dept. of Agriculture, Forest Service, 1985.
Find full textBook chapters on the topic "Block Statistics"
Lange, Kenneth. "Block Relaxation." In Springer Texts in Statistics, 171–83. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5838-8_7.
Full textSaville, David J., and Graham R. Wood. "Randomized Block Design." In Springer Texts in Statistics, 299–339. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-0971-3_12.
Full textToutenburg, Helge, and Shalabh. "Incomplete Block Designs." In Springer Texts in Statistics, 181–244. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1148-3_6.
Full textDean, Angela, Daniel Voss, and Danel Draguljić. "Complete Block Designs." In Springer Texts in Statistics, 305–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52250-0_10.
Full textDean, Angela, Daniel Voss, and Danel Draguljić. "Incomplete Block Designs." In Springer Texts in Statistics, 349–97. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52250-0_11.
Full textMcEntegart, Damian. "Block Randomization." In Methods and Applications of Statistics in Clinical Trials, 125–38. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118596005.ch11.
Full textde Leeuw, Jan. "Block-relaxation Algorithms in Statistics." In Studies in Classification, Data Analysis, and Knowledge Organization, 308–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-46808-7_28.
Full textPolitis, Dimitris N., Joseph P. Romano, and Michael Wolf. "Choice of the Block Size." In Springer Series in Statistics, 188–212. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1554-7_9.
Full textMejza, S., and S. Kageyama. "Some Statistical Properties of Nested Block Designs." In Contributions to Statistics, 231–38. Heidelberg: Physica-Verlag HD, 1998. http://dx.doi.org/10.1007/978-3-642-58988-1_25.
Full textBrusco, Michael J., Stephanie Stahl, and J. Dennis Cradit. "Multiobjective Multidimensional (City-Block) Scaling." In Statistics in the Social Sciences, 113–33. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470583333.ch4.
Full textConference papers on the topic "Block Statistics"
Bae, Seungbin, Hakjae Lee, Kisung Lee, Kyeongmin Kim, Hyun-il Kim, Yonghyun Chung, and Jinhun Joung. "Statistics-based position decoding for a block detector." In 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference (2012 NSS/MIC). IEEE, 2012. http://dx.doi.org/10.1109/nssmic.2012.6551730.
Full textStraubhaar*, J., P. Renard, and G. Mariethoz. "Multiple-point Statistics Simulations Accounting for Block Data." In Petroleum Geostatistics 2015. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201413585.
Full textChaudhuri, Surajit, Gautam Das, and Utkarsh Srivastava. "Effective use of block-level sampling in statistics estimation." In the 2004 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1007568.1007602.
Full textLiang Xu, Liang Zhang, Ping Han, and Ren-biao Wu. "Adaptive threshold shadow detection based on image block statistics." In 2008 9th International Conference on Signal Processing (ICSP 2008). IEEE, 2008. http://dx.doi.org/10.1109/icosp.2008.4697387.
Full textYang, Yinghua, and Ioan Tabus. "Haplotype Block Partitioning using a Normalized Maximum Likelihood Model." In 2007 IEEE International Workshop on Genomic Signal Processing and Statistics. IEEE, 2007. http://dx.doi.org/10.1109/gensips.2007.4365840.
Full textDong, Sheng, Jinjin Zhai, Weinan Huang, Zhifeng Wang, and Ri Zhang. "Estimating Storm Surge Design Parameter for Oil and Gas Exploitation in the Blocks of Liaodong Bay." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77400.
Full textMohd Zawawi, Iskandar Shah, Zarina Bibi Ibrahim, and Mohamed Suleiman. "On the stability of diagonally implicit 2-point block backward differentiation formulae." In INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND STATISTICS 2013 (ICMSS2013): Proceedings of the International Conference on Mathematical Sciences and Statistics 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4823927.
Full textChen, Shang Kuan, Ran Zan Wang, and Wen Pinn Fang. "High-Payload Lossless Data Hiding Scheme with Block Statistics Characteristics." In 2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). IEEE, 2014. http://dx.doi.org/10.1109/iih-msp.2014.101.
Full textMarques, Filipe J., and Carlos A. Coelho. "The multi-sample block-scalar sphericity test under the complex multivariate normal case." In INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND STATISTICS 2013 (ICMSS2013): Proceedings of the International Conference on Mathematical Sciences and Statistics 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4823948.
Full textCoelho, Carlos A., and Filipe J. Marques. "Near-exact distributions for the block equicorrelation and equivariance likelihood ratio test statistic." In INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND STATISTICS 2013 (ICMSS2013): Proceedings of the International Conference on Mathematical Sciences and Statistics 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4823950.
Full textReports on the topic "Block Statistics"
Carroll, Gary L., Theodore S. Setzer, and Bert R. Mead. Timber resource statistics for the Beluga block, Susitna River basin multiresource inventory unit, Alaska, 1980. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Forest and Range Experiment Station, 1985. http://dx.doi.org/10.2737/pnw-rb-121.
Full textMead, Bert R., Theodore S. Setzer, and Gary L. Carroll. Timber resource statistics for the Upper Susitna block, Susitna River basin multiresource inventory unit, Alaska, 1980. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Forest and Range Experiment Station, 1985. http://dx.doi.org/10.2737/pnw-rb-122.
Full textTong, J., R. Even, and R. Huang. RTP Control Protocol (RTCP) Extended Report (XR) Block for MPEG2 Transport Stream (TS) Program Specific Information (PSI) Decodability Statistics Metrics Reporting. Edited by C. Bi and Q. Wu. RFC Editor, November 2014. http://dx.doi.org/10.17487/rfc7380.
Full textHuang, R., Q. Wu, H. Asaeda, and G. Zorn. RTP Control Protocol (RTCP) Extended Report (XR) Block for MPEG-2 Transport Stream (TS) Program Specific Information (PSI) Independent Decodability Statistics Metrics Reporting. RFC Editor, August 2013. http://dx.doi.org/10.17487/rfc6990.
Full textWraight, Sarah, Julia Hofmann, Justine Allpress, and Brooks Depro. Environmental justice concerns and the proposed Atlantic Coast Pipeline route in North Carolina. RTI Press, March 2018. http://dx.doi.org/10.3768/rtipress.2018.mr.0037.1803.
Full textZorn, G., R. Schott, and R. Huang. RTP Control Protocol (RTCP) Extended Report (XR) Blocks for Summary Statistics Metrics Reporting. Edited by Q. Wu. RFC Editor, September 2013. http://dx.doi.org/10.17487/rfc7004.
Full textNoyes, H. COMMENT ON 'STATISTICAL MECHANICAL ORIGIN OF THE ENTROPY OF A ROTATING, CHARGED BLACK HOLE'. Office of Scientific and Technical Information (OSTI), November 1991. http://dx.doi.org/10.2172/1449646.
Full textAalto, Juha, and Ari Venäläinen, eds. Climate change and forest management affect forest fire risk in Fennoscandia. Finnish Meteorological Institute, June 2021. http://dx.doi.org/10.35614/isbn.9789523361355.
Full textDöring, Thomas, and Lorenz Blume. Finanzausgleichsbedingte Einheitslasten der Länder – eine empirische Quantifizierung am Beispiel des Landes Nordrhein-Westfalen. Sonderforschungsgruppe Institutionenanalyse, 2012. http://dx.doi.org/10.46850/sofia.9783941627178.
Full textDöring, Thomas, and Lorenz Blume. Einbindung der neuen Länder in den bundesstaatlichen Finanzausgleich - Eine empirische Schätzung der Einheitslasten der westdeutschen Länder. Sonderforschungsgruppe Institutionenanalyse, 2012. http://dx.doi.org/10.46850/sofia.9783941627215.
Full text