7.1 The measurement of changes in the level of consumer prices is complicated by the appearance and disappearance of new and old goods and services, as well as changes in the quality of existing ones. If there were no such complications, then a representative sample could be taken of the items households consume in period 0, their prices recorded and compared with the prices of the same matched...

This papers proposes techniques for writing self-adjusting programs that can adjust to any change to their data (e.g., inputs, decisions made during the computation) etc. We show that the techniques are efficient by considering a number of applications including several sorting algorithms, and the Graham Scan, and the quick hull algorithm for computing convex hulls. We show that the techniques ...

Self-adjusting computation is a paradigm for programming incremental computations that efficiently respond to input changes by updating the output in time proportional to the changes in the structure of the computation. This dissertation defends the thesis that high-level programming abstractions improve the experience of reading, writing, and reasoning about and the efficiency of self-adjustin...

This paper proposes and implements a statistical methodology for adjusting employment data for the effects of deviations in weather from seasonal norms. This is distinct from seasonal adjustment, which controls only for the normal variation in weather across the year. We simultaneously control for both of these effects by integrating a weather adjustment step in the seasonal adjustment process....

In the Robotics industry, it is a frequent requirement that robots operate in real-time. The usual approach to this issue involves creating robots driven entirely by direct environmental input rather than complicated planning and decision-making AI. This approach means that the current state of the robot in relation to its environment exclusively determines the actions of the robot. In the simp...

In this paper, we propose a new learning method simulation adjusting that adjusts simulation policy to improve the move decisions of the Monte Carlo method. We demonstrated simulation adjusting for 4 × 4 board Go problems. We observed that the rate of correct answers moderately increased.

OBJECTIVE To assess if posttraumatic stress disorder (PTSD), recognized as a common mental disorder in the general population and veteran samples, has a unique impact on comorbidity, disability, and suicidal behavior (after adjusting for other mental disorders, especially depression). METHODS Data came from the Canadian Community Health Survey Cycle 1.2 (n = 36,984; age > or = 15 years; respo...

Background: The evidence suggests nutrition style as a key determinant of health. On the other hand, nutrition literacy is a key determinant of nutrition decisions and behaviors. This study aimed to develop and validate an inventory in order to predict nutrition literacy promoting behavior based on the theory of planned behavior (TPB) in the youth. Methods: In this cross-sectional study, 203 st...

In this paper we explore two themes in data structure design: amortized computational complexity and self-adjustment. We are motivated by the following observations. In most applications of data structures, we wish to perform not just a single operation but a sequence of operations, possibly having correlated behavior. By averaging the running time per operation over a worst-case sequence of op...