Research resources in statistics
I choose to study statistics because it is widely used in every aspect of the world,I can choose what I like using statistics to study.Statistics need us to analysis,so It’s interesting to discover by my own work. I love biostatistics most since I love biology and statistics give me a chance to combine both statistics and biology.
The main basic hand-book is Wiely Series in Probability and mathematical statistics by Bhattacharyya and Johnson, in this text-book, text-book, the author introduced basic method and we do practices using this handbook. The other useful hand book like Statistics (Boundless, !"#$textbook is a college-le%el, introductory handbook that co%ers the fascinating sub&ect of 'tatistics, a branch of mathematics often highly rele%ant to e%eryday situations. Boundless works with sub&ect matter experts to select the best open educational resources a%ailable on the web, re%iew the content for uality, and create introductory, college-le%el textbooks designed to meet the study needs of uni%ersity students. Probability students. Probability and Statistics - Basic (a Short Course)( Course) ()*-" +oundation,!"$ +oundation ,!"$ is an introduction to theoretical probability and data organiation. 'tudents learn about e%ents, conditions, random %ariables, and graphs and tables that allow them to manage data. Statis Statistics tics in Plain English English,, (Timothy (Timothy ). rdan,!"!$ rdan ,!"!$ pro%ides a brief, simple o%er%iew of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. ach chapter describes a different statistical techniue, ranging from basic concepts like
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central tendency and describing distributions to more ad%anced concepts such as t tests, regression, repeated measures /012/, and factor analysis. ach chapter begins with a short description of the statistic and when it should be used. This This is followed by a more in-depth explanation of how the statistic works. +inally, each chapter ends with an example of the statistic in use, and a sample of how the results of analyses using the statistic might be written up for publication. / glossary of statistical terms and symbols is also included. Rather than handbooks, authoritati%e text books are important to my discipline knowledge. Beyond knowledge. Beyond Anova (Rupert,"345$ Anova (Rupert,"345$ introduce a kind of important method used in '/'(famous software in statistics$. A statistics$. A First course in probability ('heldon,!"$ probability ('heldon,!"$ is about the most useful basic theory of probability in statistics. Coo!boo! (6aul (6aul Teetor$ gi%e knowledge in R software (freuently used software in statistics$ in application of statistical methods. ggplot"# Elegant $raphics %or &ata Analysis Analysis (7. 8ickham,!!3$ is a famous fa mous book introducing the most widely used plot in R software ' isualiing &ata Patterns *ith +icromaps ()arr,!"!$ is my reuired book in class that focus on designing graphs in statistics using R software. Beyond software. Beyond the Ans*er Sheet# Academic Success %or ,nternational Students (Badke,!!#$ Students (Badke,!!#$ is one of the recommend book by bridge professor that telling students how to write a successful academic writing. hey say , say (gerald,!"!$ say (gerald,!"!$ is also a book focus on the grammar and writing patterns a formal article should ha%e.
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Journal of /pplied statistics was established by 9opal, who was a part of Royal statistical society and the :nstitute of 'tatistics in "3;<. The &ournal is a bridge connecting statistics to a %ariety of disciplines depending on application in statistics. Journal of /pplied statistics also pro%ides a forum for communication between both applied statistics and users of applied statistical techniues across a wide range of disciplines. These areas include business, computing, economics, ecology, education, biology, management, medicine, operational research and society, but papers from other areas are also considered. :n "3;<,as a part of Royal 'tatistical 'ociety and the :nstitute of 'tatisticians, 9opal decided to produce a home-grown applied statistics &ournal suitable for practising statisticians and applied research workers.The humble beginning of his &ournal,which was then known known as the Bulletin in /pplied 'tatistics(B:/'$, has now transformed into a top international &ournal of statistics known as the Journal of /pplied 'tatistics.This issue sees the Journal of /pplied 'tatistics mo%e into its thirty-fifth %olume. The Journal has grown from homespun beginnings to a leading international publication in the mathematics and statistics arena producing twel%e issues per year. The Journal pro%ides a forum for communication between both applied statisticians and users of statistical techniues across a wide range of disciplines. /s a benchmark of its uality, it has been included in the 'ciences )itation :ndex since "33=, en&oying more than ten years among the
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wide geographical spread of authors publishing in any gi%en issue. :n the research of biology, people use &ournals in biostatistics to study,they face different data in huge differences to analye the changing result and regular pattern. /s a conclusion, statistics plays an important role in the process of obser%ation and final output. +or example, if current approaches are a%ailable for establishing conception probabilities depending upon the research uestion and extent of data collection during the structural cycle, but researchers eager to propose a biologically %alid discrete sur%i%al model that unifies the approaches while relaxing some assumptions that may not be consistent with human reproduction or beha%ior. :n the process of unifying and modifying, they need to create new models based on statistical application to fit for their needs. The Journal of statistics collects papers that create new statistical models and methods in biology to obser%e experimental result, so the Journal is a bridge connecting statistics and biology. 'imilar to biology, many other disciplines rely on applied statistics to reach their process in modeling. The most &ournals in statistics use formal language to de%elop the content and specialied %ocabularies freuently appear to focus on different specific ma&ors.+ormulas and models are main roles to form an &ournal article since statistic centered on data analysis and data need models to collect information. 'tatistics gi%es us a chance to connect many disciplines using statistical methods. Based on my interest, : find ten authoritati%e articles about probability of human
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17. 2. McLain, Alexander C., Rajeshwari Sundaram, and Germaine M. Buck Louis. "Modeling fecundity in the presence of a sterile fraction using a semi-parametric transformation model for grouped survival data." Statistical Methods in Medical Research (2012). 3. Dominik, Rosalie, and Pai ‐Lien Chen. "Day ‐specific pregnancy probability estimation in barrier contraceptive effectiveness trials." Paediatric and perinatal epidemiology 20.s1 (2006): 38-42. 4. Bortot, Bortot, Paola, Paola, Guido Masarotto, Masarotto, and Bruno Scarpa. "Sequential "Sequential predictio predictions ns of menstrual cycle lengths." Biostatistics 11.4 (2010): 741-755. 5. Guo, Ying, et al. "Modeling menstrual cycle length using a mixture distribution." Biostatistics 7.1 (2006): 100-114. 6. Mikolajczyk, Rafael T., et al. "Characteristics of prospectively measured vaginal bleeding bleeding among among women women trying trying to conceive conceive." ." Paediatric Paediatric and perinatal perinatal epidemiol epidemiology ogy 24.1 (2010): 24-30. 7. Huang, Xiaobi, Michael R. Elliott, and Sioban D. Harlow. "Modeling Menstrual Cycle Cycle Length Length and and Variab Variabili ility ty at the Approa Approach ch of Menopa Menopause use Using Using Bayesi Bayesian an Changepoint Models." (2010). 8. Wegienka, Ganesa, and Donna Day Baird. "Potential bias due to excluding oral contra contracep ceptiv tivee users users when when estima estimatin ting g menstr menstrual ual cycle cycle charac character terist istics ics."Am ."Ameri erica can n journal of epidemiology epidemiology 158.10 (2003): 947-950. 947-950. 9. Taylor Jr, R. N., G. S. Berger, and A. E. Treloar. "Changes in menstrual cycle length length and regula regularity rity after after use of oral oral contr contrac acept eptive ives." s." Intern Internati ationa onall journa journall of gynae gynaecol cology ogy and and obste obstetri trics: cs: the offici official al organ organ of the Intern Internati ationa onall Federa Federatio tion n of Gynaecology and Obstetrics 15.1 (1977): 55. 10. 10. Gunn Gunn,, Laur Lauraa H., H., and and Davi David d B. Duns Dunson on.. "A trans transfo form rmat atio ion n appr approa oach ch for for incorporating monotone or unimodal constraints." Biostatistics 6.3 (2005): 434-449.
The Royal 'tatistical 'ociety (R''$ is one of the world?s most distinguished and renowned statistical societies. :t is both a learned society for statistics and a professional body for statisticians. :t was founded in "4#< as the 'tatistical 'ociety of @ondon and became the Royal 'tatistical 'ociety by Royal )harter in "44;. "44;. Today the 'ociety has more than ;!!! members around the world, of whom some "=!! are
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/lso, the /merican 'tatistical /ssociation is the worldAs largest community of statisticians. The /'/ supports excellence in the de%elopment, application, and dissemination of statistical science through meetings, publications, membership ser%ices, education, accreditation, and ad%ocacy. Their members ser%e in industry, go%ernment, and academia in more than 3! countries, ad%ancing research and promoting sound statistical practice to inform public policy and impro%e human human welfare.
The )entral 'tatistics 1ffice is a reputable authority, nationally and globally, in the pro%ision of reliable, timely statistics and related statistical ser%ices.They pro%ide an effecti%e enabler of sound decision making, policy formulation, program e%aluation and monitoring.
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