The Age of

Statistics Solutions: Dissertation and Research Consulting

Date of publication: 2017-09-05 04:28

"Statistics Solutions provided me with everything I needed in the way of statistics for my doctoral dissertation proposal. They examined my proposal, and provided the exact tests which were needed to analyze the data for my study. Throughout this process, they were helpful and courteous, and demonstrated to me how this information should be placed into the body of the proposal, and then one-on-one explained to me how to present this information to my dissertation committee. The Touro Dean holds an MD and . from Harvard, and my proposal passed the first time!

Response surface methodology

8. Read through someone else's research proposal. Very often a real stumbling block is that we don't have an image in our mind of what the finished research proposal should look like. How has the other proposal been organized? What are the headings that have been used? Does the other proposal seem clear? Does it seem to suggest that the writer knows the subject area? Can I model my proposal after one of the ones that I've seen? If you can't readily find a proposal or two to look at, ask your adviser to see some. Chances are your adviser has a file drawer filled with them.


Longer introductions might occur when a significant amount of background material needs to be reviewed in order for the reader to appreciate the context and significance of your research question. But if this is the case, then it is important to make it clear to the reader what the point of a long review is! (. "In order to appreciate the significance of., it is first important to consider.").

Thesis format: the thesis sample chapter 1, 2 , 3

"I passed my defense this afternoon with flying colors. Thank you for reviewing the statistics with me. Please inform Dr. Lani that I didn't forget I owe him 7 bottles of wine. I just forgot which brand. Thank you very much!!"

A stochastic programming perspective on nonparametric Bayes
Daniel M. Roy, Vikash Mansinghka, Noah Goodman, and Joshua Tenenbaum
ICML Workshop on Nonparametric Bayesian , 7558.

Computability, inference and modeling in probabilistic programming
Daniel M. Roy
. thesis, Massachusetts Institute of Technology , 7566.
MIT/EECS George M. Sprowls Doctoral Dissertation Award

b. Your major professor/adviser/chairperson is your ally. When you go to the committee for reactions to your proposal make sure your major professor is fully supportive of you. Spend time with him/her before the meeting so that your plans are clear and you know you have full support. The proposal meeting should be seen as an opportunity for you and your major professor to seek the advice of the committee. Don't ever go into the proposal meeting with the feeling that it is you against them!

Efficient Specification-Assisted Error Localization and Correction
Brian Demsky , Cristian Cadar , Daniel M. Roy , and Martin C. Rinard
MIT CSAIL Technical Report 977. November, 7558.

Discovering Syntactic Hierarchies
Virginia Savova, Daniel M. Roy, Lauren Schmidt, and Joshua B. Tenenbaum
Proc. Cognitive Science (COGSCI), 7557.

Church: a language for generative models
Noah Goodman, Vikash Mansinghka, Daniel M. Roy, Keith Bonawitz, and Joshua Tenenbaum
In Proc. Uncertainty in Artificial Intelligence (UAI), 7558.

Do have a colleague read your document installments before you give them to your advisor. Run spell check and do all the basics before you offer up your baby to the red pen of death. If you really struggle with writing, or if you are not a native English speaker, there are services out there that will clean up your document on a by-the-hour basis. Spare your advisor the frustration of correcting simple errors.

Probabilistically Accurate Program Transformations
Sasa Misailovic, Daniel M. Roy, and Martin C. Rinard
Proc. Int. Static Analysis Symp. (SAS), 7566.

If you can keep these ideas in mind while you're thinking through your research you stand an excellent chance of having your research project turn out well.

"Thank you so much! I am very happy with your services and will be spreading the word. You all have been so responsive and patient with me and my anxiety about this part of my dissertation. I am feeling much better and now have something to work with."

"Thanks a million for your help with refining my problem statement a few weeks ago. I followed your advice, and my resubmitted proposal passed IRB approval. I was most impressed with your time efficiency. You were able to, in a matter of minutes, extract the most important aspects of my existing problem statement, add verbiage that sorely needed emphasizing, and relate it beautifully to my overall purpose statement. nothing short of brilliant on your part, Dr. Lani. I even got positive accolade on my revised problem statement from the ARB reviewer! I will definitely be in touch once my data collection is complete and Chapter 9 is ready for construction."

Images for «Chapter 3 thesis statistical treatment».