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Paiement, C. A., 809 Paillard-Borg, S., 471, 472, 473 Paivio, A., 297 Pajares, F., 806 Palmer, R. S., 873 Palva, M., 225 Panchapakesan, N. A., 747, 748 Pandav, R. S., 495 Pandolf, K. B., 560, 564 Pangrazi, B., 469 Panter, A. T., 775, 779 Pantev, C., 96 Panton, L. B., 496 Paoletti, I., 657 Papacharisis, V., 300 Papaioannou, A., 8, 9, 288, 415, 416, 417, 792 Papathanassiou, V., 712, 723, 724 Papp, L. A., 476 Pappas, D. M., 871 Parada, L., 789, 791 Paradiso, M. A., 86, 101, 102 Parasuraman, R., 245 Pare, D., 101 Parfitt, G., 66, 293, 560, 570, 572 Pargman, D., 386, 598, 599, 603, 604, 610, 611, 613 Parham, W. D., 825, 838 Parish, L., 11 Park, I., 647, 656 Park, J. H., 252, 257, 458, 461 Park, N., 598 Parkatti, T., 501 Parker, D., 553 Parker, K. B., 722 Parker, M., 831 Parker, P. A., 581 Parker, T. W., 584 Parkes, K. R., 436 Parkin, A. J., 255 Parkin, D. M., 578 Parkinson, B., 31 Parks, J. B., 865, 867 Parks, S., 164, 205, 217, 245 Parliament, M., 586, 587 Partington, J., 188, 289, 290, 294, 295, 296, 801, 802, 805, 808, 809, 810, 815 Pasanen, M., 518 Pascoe, S., 581 Paskevich, D. M., 146, 150, 800, 801, 802, 803, 804, 805, 807, 808, 810, 815 Pasman, L., 356 Passer, M. W., 383, 386 Passingham, R. E., 166 Passmore, S. R., 169 Passow, H. A., 126 Pasupathi, M., 645, 651, 653, 655 Pataco, V., 121 Patashnik, M., 6, 7 Pate, R. R., 315, 509, 516, 517, 526, 528, 537, 590, 608 Patel, D. R., 357, 358

Location-Based Services (LBS)

1 Proof: Let n = n n xi denote the proportion of 1 s in x1 x2 . . . i=1 xn . Then using the method of Example 14.2, one can write a program of length nH0 ( n ) + 2 log(n n ) + c to print x n . Thus,

Newsgroup postings related to steganography started at fewer than 10 per month in early 1995, grew to more than 40 per month in late 1996, and and reached more than 100 per month in 1998. As I write this book, there are well over a thousand queries per month. The fact is that interest in steganography has exploded over the past few years. This trend is even more pronounced on the World Wide Web. In 1995, a search using steganography as a keyword produced fewer than a dozen responses. In 1996, the same query produced about 500 hits. In 1998, such a search produced well over a thousand hits. Today, the results are closer to 10,000 hits. Several researchers are experimenting with different steganography methods and seem driven by the perception that there is the potential to make money. Even though there are early entrepreneurial digital watermarking service offerings, the field is also attracting the attention of several large corporations (for example, IBM, NEC, and Kodak). The field seems poised for rapid growth.

Pr{Aj k }

If item difficulty parameters were to be greater, the ICCs would shift to the right parallel to (i.e., also without bisecting) the ICC plotted in Figure 33.1. If the item difficulty were to be smaller, the ICCs would shift to the left parallel to that in Figure 33.1. The ICCs are parallel and do not bisect because each item has a slope parameter of 1. The latent variable in the Rasch model is assumed to be scaled metrically or quantitatively. Whenever differences in degree are assumed, for example, differences in the ability to perform a certain task, individual differences are modeled by means of quantitative latent variables. One standard case for this assumption is when a number of very similar tasks are given, but the same underlying ability governs the probability of success. Even if the tasks differ in difficulty, it is assumed that the same ability underlies performance on the tasks as a set. The basic assumptions of all probabilistic models local stochastic independence and monotonicity naturally hold for the Rasch model as well. A further, stronger assumption in the one-parameter Rasch model is that the number of successes on a given set of tasks is a suf ficient measure of the underlying ability. This means that the raw score of a person (the sum of the single responses to p items) contains all relevant information from the person s response pattern. Monotonicity, local independence, and the sufficiency of the number of successes lead to two outstanding features of the Rasch model: person homogeneity and item homogeneity. These features imply that item parameter estimations or calibrations are independent of the sample drawn from the population of persons (i.e., the same item param-

relationships that will eventually lead to therapeutic interventions that contain more causes of change The disadvantage of the dismantling design is that not all interventions (especially nonbehavioral or noncognitive therapies) are easily broken down into separate components (Basham, 1986) When this is the case, the next two scientifically rigorous experimental designs can be employed Additive (Constructive) Comparison Design The goal of the additive design (also called the constructive design) is to create a new treatment package by adding two or more separate techniques together and then testing the combined effect of those techniques against the original separate techniques This design is very similar to the dismantling design in its implementation, and it also has exactly the same methodological, scienti c, and ethical strengths as the dismantling design; thus, these points are not to be repeated here.