Statistical Thinking and Management Descriptive versus Inferential Statistics Types of Data and their Sources Types of Sampling Methods Types of Survey Errors
To read and find out the purpose of this chart To examine the theme and figure out the relations in the chart To pay attention to the notes in the chart II. What we should pay special attention to Limit of time 2. Focus of the chart III. What we will write in the composition Catch the trend, the survey and some
Plan for the Session Basic concepts in probability and statistics Review design of experiments Basics of Robust Design Research topics - Model-based- assessment of RD methods Faster computer-based robust design Robust invention
The Language of genomics CDNAS, ESTS. BACS Alus. etc Dideoxy Method Shotgun Sequencing The 'shotgun coverage equation(Poisson) Flavors of blast BLASTIPNXJ, TBLASTINXI Statistics of High Scoring Segments
Introduction (chapter objectives) Power spectral density Matched filters Recall former Chapter that random signals are used to convey information. Noise is also described in terms of statistics. Thus, knowledge of random signals and noise is fundamental to an understanding of communication systems
ynamic order statistics OS-SELECT(i, S): returns the i th smallest element in the dynamic set S. OS-RANK(, S): returns the rank ofx E S in the sorted order of s s elements IDEA: Use a red-black tree for the set S, but keep subtree sizes in the nodes
Ch. 11 Panel Data model Data sets that combine time series and cross sections are common in econo- metrics. For example, the published statistics of the OECD contain numerous series of economic aggregate observed yearly for many countries. The PSID is a studies of roughly 6000 families and 15000 individuals who has been interviews periodically from 1968 to the present