Literatura académica sobre el tema "NBQA"
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Artículos de revistas sobre el tema "NBQA"
Hasty, J. D., M. M. Pfeifer, L. C. Eastwood, D. A. Gredell, C. L. Gifford, J. R. Levey, C. M. Cashman et al. "National Beef Quality Audit-2016: Phase 1, Face-to-face interviews". Translational Animal Science 1, n.º 3 (1 de septiembre de 2017): 320–32. http://dx.doi.org/10.2527/tas2017.0039.
Texto completoHarris, McKensie K., L. Clay Eastwood, Courtney A. Boykin, Ashley N. Arnold, Kerri B. Gehring, Daniel S. Hale, Christopher R. Kerth et al. "National Beef Quality Audit–2016: assessment of cattle hide characteristics, offal condemnations, and carcass traits to determine the quality status of the market cow and bull beef industry". Translational Animal Science 2, n.º 1 (22 de enero de 2018): 37–49. http://dx.doi.org/10.1093/tas/txx002.
Texto completoEastwood, L. C., C. A. Boykin, M. K. Harris, A. N. Arnold, D. S. Hale, C. R. Kerth, D. B. Griffin et al. "National Beef Quality Audit-2016: Transportation, mobility, and harvest-floor assessments of targeted characteristics that affect quality and value of cattle, carcasses, and by-products1". Translational Animal Science 1, n.º 2 (1 de abril de 2017): 229–38. http://dx.doi.org/10.2527/tas2017.0029.
Texto completoHyphantis, Thomas, Anna Kaltsouda, John Triantafillidis, Odysseas Platis, Soula Karadagi, Konstantinos Christou, Christos Mantas, Argyrios Argyropoulos y Venetsanos Mavreas. "Personality Correlates of Adherence to Type 2 Diabetes Regimens". International Journal of Psychiatry in Medicine 35, n.º 1 (marzo de 2005): 103–7. http://dx.doi.org/10.2190/nbqa-08a7-6mg9-gc8w.
Texto completoKim, Yong-Hak, Wooseok Song, Jin-Sik Kim, Li Jiao, Kangseok Lee y Nam-Chul Ha. "Structural and Mechanistic Insights into the Pseudomonas fluorescens 2-Nitrobenzoate 2-Nitroreductase NbaA". Applied and Environmental Microbiology 81, n.º 15 (29 de mayo de 2015): 5266–77. http://dx.doi.org/10.1128/aem.01289-15.
Texto completoKim, Yong-Hak, Woo-Seok Song, Hayoung Go, Chang-Jun Cha, Cheolju Lee, Myeong-Hee Yu, Peter C. K. Lau y Kangseok Lee. "2-Nitrobenzoate 2-Nitroreductase (NbaA) Switches Its Substrate Specificity from 2-Nitrobenzoic Acid to 2,4-Dinitrobenzoic Acid under Oxidizing Conditions". Journal of Bacteriology 195, n.º 2 (2 de noviembre de 2012): 180–92. http://dx.doi.org/10.1128/jb.02016-12.
Texto completoIwaki, Hiroaki, Takamichi Muraki, Shun Ishihara, Yoshie Hasegawa, Kathryn N. Rankin, Traian Sulea, Jason Boyd y Peter C. K. Lau. "Characterization of a Pseudomonad 2-Nitrobenzoate Nitroreductase and Its Catabolic Pathway-Associated 2-Hydroxylaminobenzoate Mutase and a Chemoreceptor Involved in 2-Nitrobenzoate Chemotaxis". Journal of Bacteriology 189, n.º 9 (2 de febrero de 2007): 3502–14. http://dx.doi.org/10.1128/jb.01098-06.
Texto completoAnderson, William B. "Labor’s Denial: A Case Study of How Labor Used the Media and Public Relations to Block the First NBA–ABA Merger Attempt". International Journal of Sport Communication 10, n.º 1 (marzo de 2017): 105–23. http://dx.doi.org/10.1123/ijsc.2016-0091.
Texto completoUllah, M. W., N. Haraguchi, M. A. Ali, M. R. Alam, M. Mahiuddin y S. K. Ahamed. "Atom Transfer Radical Polymerization of Styrene and Acrylates: Effects of Catalyst, Ligand, Solvent, and Initiator". Journal of Scientific Research 13, n.º 3 (1 de septiembre de 2021): 999–1010. http://dx.doi.org/10.3329/jsr.v13i3.53347.
Texto completoKong, Du, Wei Wang, Gang Du, Binyao Shi, Zhengchen Jiang y Bin Jin. "Liver Retraction Using n-Butyl-2-Cyanoacrylate (NBCA) Glue during Laparoscopic Splenectomy and Azygoportal Disconnection in Cirrhotic Patients". BioMed Research International 2018 (19 de agosto de 2018): 1–7. http://dx.doi.org/10.1155/2018/3064046.
Texto completoTesis sobre el tema "NBQA"
Francis, Rashad J. Kelly Thomas M. "A shirking model of NBA players". Waco, Tex. : Baylor University, 2006. http://hdl.handle.net/2104/4853.
Texto completoTran, Tuan M. Eng (Tuan Minh) Massachusetts Institute of Technology. "Predicting NBA games with matrix factorization". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106385.
Texto completoThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 37).
In my thesis, I present the methods I use to predict NBA games using matrix factorization. Matrix factorization is popular through the Netflix recommendation problem, but in general, one can apply it to data that are best modeled as the result of pairwise interaction. My thesis contains three parts. First, I explain how I model NBA prediction as a matrix factorization problem and use the basic low-rank matrix factorization approach to discover structure in the data. I also explain some differences between using matrix factorization for NBA prediction versus that in the Netflix recommendation problem. Second, I use probabilistic matrix factorization (PMF) to incorporate the fact that when two teams play each other, the scores will be different each time. Lastly, I incorporate supplementary information such as the date of the game by combining multiple PMF problems using Gaussian process priors. I replace the scalar latent features with functions of this supplementary information to aid with prediction.
by Tuan Tran.
M. Eng.
Shah, Parin. "Economic Subterfuge and the NBA Lockout". Thesis, Boston College, 2012. http://hdl.handle.net/2345/2641.
Texto completoAt the very core of the National Basketball Association’s labor negotiations between the owners and the players during the 2011 lockout was the league’s argument that its economic structure was broken. Owners contended that the NBA’s soft salary cap system, and the resulting payroll disparity, has put small-market franchises at a talent disadvantage and produced a league of haves and have-nots. To remedy this purported competitive balance problem, the owners demanded severe policy measures to decrease the pay dispersion among teams. However, the players union cautioned that these hardline provisions were merely an attempt to transfer wealth from players to owners. This charge warranted further analysis. Existing literature on this topic is either outdated or insufficient in scope. As such, using regression analysis, this thesis evaluated the league’s argument and determined to what extent the league’s soft salary cap system has contributed to its competitive imbalance.The empirical analysis of this thesis produced several meaningful conclusions. While the NBA has relative imbalance, it does not affect consumer demand for the regular season product. Moreover, while pay dispersion exists, additional salary expenditures only marginally add to a team’s winning percentage. There is no significant relationship between payroll disparity and competitive balance. Finally, with the escalating importance of media rights contracts and the historical appreciation of franchise valuation, the league overstated the financial distress of most of its small-market owners. Overall, the NBA and its owners used deceptive rhetoric and misleading economic policies to decrease player salaries, not to increase competitive balance, in a collusive effort to maximize profits and reassert its diminishing monopsony power in an increasingly star-driven league
Thesis (BS) — Boston College, 2012
Submitted to: Boston College. Carroll School of Management
Discipline: Carroll School of Management Honors Program
Discipline: Economics
Perry, Christopher Mattison. "Selection Bias in the NBA Draft". Thesis, Boston College, 2008. http://hdl.handle.net/2345/554.
Texto completoIn this paper I present an econometric analysis of selection bias in the NBA Draft from 1995-2003. Employing an interval regression maximum likelihood control model that predicts the eventual value of players based on their Draft position, I pinpoint which groups of players consistently over-perform or under-perform relative to their Draft position. Using this analysis I detect bias pertaining to four different groups of players. There was a bias against high school players, especially those taken in the lottery (the top of the first round of the Draft), which may point to risk-averse tendencies of NBA teams. There was also a bias in favor of centers taken in the lottery, who were consistently drafted too high. Black players were selected too low in the first round, and too high in the second round. The final effect deals with foreign entrants to the Draft. From 1995-2001 foreigners were drafted too low; in 2002 and 2003, when more foreigners were selected, they were drafted too high. My paper details the nature of these biases and analyzes their potential causes
Thesis (BA) — Boston College, 2008
Submitted to: Boston College. College of Arts and Sciences
Discipline: Economics
Discipline: Economics Honors Program
Discipline: College Honors Program
Jones, Eric Scot. "Predicting Outcomes of NBA Basketball Games". Thesis, North Dakota State University, 2016. https://hdl.handle.net/10365/28084.
Texto completoHong, Sungjai. "Determining Effectiveness of NBA Jersey Sponsorship". Bowling Green State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562861534058407.
Texto completoAnderson, Scott E. "Does Tanking Work? Evidence from the NBA". Scholarship @ Claremont, 2015. http://scholarship.claremont.edu/cmc_theses/1012.
Texto completoPuranmalka, Keshav. "Modelling the NBA to make better predictions". Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85464.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 65-66).
Unexpected events often occur in the world of sports. In my thesis, I present work that models the NBA. My goal was to build a model of the NBA Machine Learning and other statistical tools in order to better make predictions and quantify unexpected events. In my thesis, I first review other quantitative models of the NBA. Second, I present novel features extracted from NBA play-by-play data that I use in building my predictive models. Third, I propose predictive models that use team-level statistics. In the team models, I show that team strength relations might not be transitive in these models. Fourth, I propose predictive models that use player-level statistics. In these player-level models, I demonstrate that taking the context of a play into account is important in making useful prediction. Finally, I analyze the effectiveness of the different models I created, and propose suggestions for future lines of inquiry.
by Keshav Puranmalka.
M. Eng.
Kates, Mitchell (Mitchell H. ). "Player motion analysis : automatically classifying NBA plays". Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/100664.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 55-56).
Basketball is a team game, and an important task for coaches is analyzing the effectiveness of various offensive plays. Currently, teams spend a great deal of time examining video of past games. If teams could automatically classify plays, they could more effectively analyze their own plays and scout their opponents. In this thesis, we develop a methodology to help automatically classify a set of NBA plays using data from the SportVU optical tracking system, which tracks the position of each player and the ball 25 times per second. The problem is made challenging by the variations in how a play is run, the high proportion of possessions where no set play is run, the variance in length of plays, and the difficulty of acquiring a large number of labeled plays. We develop a framework for classifying plays using supervised machine learning. In our approach, we incorporate a novel sliding block algorithm that improves our classifier by accounting for the difference in play lengths. We also use a variant of the traditional one vs. all multi-class SVM. This approach is well suited to distinguish labeled plays from free motion and unlabeled plays. This thesis demonstrates that we can use SportVU data to automatically differentiate plays. We selected a total of six plays to classify, where each play had at least 20 labeled instances. We also added a large selection of plays that were not one of these six and labeled them as Other. Our framework correctly predicted the play with an accuracy of 72.6% and an F-score of .727. We also propose a framework, based on our engineered features, to extend our research to unlabeled plays.
by Mitchell Kates.
M. Eng.
Aguilar-Mamani, Wilson. "Crystallization of NBA-ZSM-5 from kaolin". Doctoral thesis, Luleå tekniska universitet, Kemiteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-63169.
Texto completoLibros sobre el tema "NBQA"
BradyGames. NBA ShowTime: NBA on NBC: Official Strategy Guide. Indianapolis, IN: BradyGames, 1999.
Buscar texto completoCapítulos de libros sobre el tema "NBQA"
Tingley, Suzanne Capek. "Mr. NBA". En How to Handle Difficult Parents, 75–80. 2a ed. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003235606-10.
Texto completoWiethoff, Sarah, Kailash P. Bhatia y Henry Houlden. "Genetics of NBIA Disorders". En Movement Disorder Genetics, 263–91. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17223-1_13.
Texto completoZhu, Luyang, Konstantinos Rematas, Brian Curless, Steven M. Seitz y Ira Kemelmacher-Shlizerman. "Reconstructing NBA Players". En Computer Vision – ECCV 2020, 177–94. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58558-7_11.
Texto completoDines, Monica, Rakefet Schwarz y Noam Adir. "Crystal Structures of the NblA Protein". En Photosynthesis. Energy from the Sun, 237–41. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6709-9_53.
Texto completoDusek, Petr y Daniela Zahorakova. "Genetics of Metal Disorders (Excluding NBIA)". En Movement Disorder Genetics, 293–330. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17223-1_14.
Texto completoBlock, Walter E. "The NBA-NFL-MLB Eliminator". En Defending the Undefendable III, 221–22. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3957-9_59.
Texto completoBuxton, Marilynn L. Rapp. "NBA Salaries Are Not Dribble". En Math Bafflers, 22–23. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003236382-11.
Texto completoFormentin, Melanie J. "Crisis Communication and the NBA Lockout". En Reputational Challenges in Sport, 117–34. New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315165608-9.
Texto completoSu, Yi-Jen y Yue-Qun Chen. "NBA All-Star Prediction Using Twitter Sentiment Analysis". En Advances in Intelligent Systems and Computing, 193–201. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01796-9_20.
Texto completoHu, Feifang y James V. Zidek. "Forecasting NBA basketball playoff outcomes using the weighted likelihood". En Institute of Mathematical Statistics Lecture Notes - Monograph Series, 385–95. Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2004. http://dx.doi.org/10.1214/lnms/1196285406.
Texto completoActas de conferencias sobre el tema "NBQA"
LaBounta, Henry. "NBA Street Homecourt". En ACM SIGGRAPH 2007 computer animation festival. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1281740.1281828.
Texto completoMannie, Eric C. "Multiprotocol over NBMA (MPON): models reengineering". En Photonics East (ISAM, VVDC, IEMB), editado por Raif O. Onvural, Seyhan Civanlar, Paul J. Doolan y James V. Luciani. SPIE, 1998. http://dx.doi.org/10.1117/12.333728.
Texto completoDeLong, Colin, Loren Terveen y Jaideep Srivastava. "TeamSkill and the NBA". En ASONAM '13: Advances in Social Networks Analysis and Mining 2013. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2492517.2492628.
Texto completoKim, Joongi, Keon Jang, Keunhong Lee, Sangwook Ma, Junhyun Shim y Sue Moon. "NBA (network balancing act)". En EuroSys '15: Tenth EuroSys Conference 2015. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2741948.2741969.
Texto completoJin, Yanbo. "Analysis of NBA Business Strategy". En 2021 6th International Conference on Social Sciences and Economic Development (ICSSED 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210407.134.
Texto completoLin, Vito, Eason Chen, Daniel Lee y Carl Chen. "Package characterization on advanced NBA-QFN structure". En 2010 5th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT). IEEE, 2010. http://dx.doi.org/10.1109/impact.2010.5699533.
Texto completoFeng, Qiming y Suping Qian. "Research on NBA Schedule Analysis and Evaluation". En ICBIM 2020: 2020 The 4th International Conference on Business and Information Management. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3418653.3418665.
Texto completoHauri, Sandro, Nemanja Djuric, Vladan Radosavljevic y Slobodan Vucetic. "Multi-Modal Trajectory Prediction of NBA Players". En 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2021. http://dx.doi.org/10.1109/wacv48630.2021.00168.
Texto completoLauck, A. G., C. R. Kalmanek y K. K. Ramakrishnan. "SUBMARINE: an architecture for IP routing over large NBMA networks". En IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320). IEEE, 1999. http://dx.doi.org/10.1109/infcom.1999.749257.
Texto completoHewko, Jordan, Robert Sullivan, Shaun Reige y Mohamad El-Hajj. "Data Mining in The NBA: An Applied Approach". En 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, 2019. http://dx.doi.org/10.1109/uemcon47517.2019.8993074.
Texto completoInformes sobre el tema "NBQA"
Heinanen, J. y R. Govindan. NBMA Address Resolution Protocol (NARP). RFC Editor, diciembre de 1994. http://dx.doi.org/10.17487/rfc1735.
Texto completoLuciani, J., D. Katz, D. Piscitello, B. Cole y N. Doraswamy. NBMA Next Hop Resolution Protocol (NHRP). RFC Editor, abril de 1998. http://dx.doi.org/10.17487/rfc2332.
Texto completoPrice, Joseph y Justin Wolfers. Racial Discrimination Among NBA Referees. Cambridge, MA: National Bureau of Economic Research, junio de 2007. http://dx.doi.org/10.3386/w13206.
Texto completoArmitage, G., P. Schulter, M. Jork y G. Harter. IPv6 over Non-Broadcast Multiple Access (NBMA) networks. RFC Editor, enero de 1999. http://dx.doi.org/10.17487/rfc2491.
Texto completoArmitage, G. Using the MARS Model in non-ATM NBMA Networks. RFC Editor, enero de 1998. http://dx.doi.org/10.17487/rfc2269.
Texto completoPrice, Joseph, Lars Lefgren y Henry Tappen. Interracial Workplace Cooperation: Evidence from the NBA. Cambridge, MA: National Bureau of Economic Research, febrero de 2009. http://dx.doi.org/10.3386/w14749.
Texto completoGross, J., R. Thompson, R. Perry y D. Schneberk. CT Scans of NASA BSTRA Balls 5f5, f2, f3, sr2c, nb2a, hb2b. Office of Scientific and Technical Information (OSTI), enero de 2004. http://dx.doi.org/10.2172/15009773.
Texto completoGreene, M., J. Cucchiara y J. Luciani. Definitions of Managed Objects for the NBMA Next Hop Resolution Protocol (NHRP). RFC Editor, agosto de 1999. http://dx.doi.org/10.17487/rfc2677.
Texto completoCohen, Alma, Nadav Levy y Roy Sasson. Termination Risk and Agency Problems: Evidence from the NBA. Cambridge, MA: National Bureau of Economic Research, junio de 2018. http://dx.doi.org/10.3386/w24708.
Texto completoLantis, Robert y Erik Nesson. Hot Shots: An Analysis of the ‘Hot Hand’ in NBA Field Goal and Free Throw Shooting. Cambridge, MA: National Bureau of Economic Research, noviembre de 2019. http://dx.doi.org/10.3386/w26510.
Texto completo