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In fact, a failure to cope brings an athlete to a new and more complicated crisis It is possible to consider this new crisis separately, for example, to work with overtraining or an eating disorder as sets of particular symptoms But a developmental perspective is more beneficial in such cases and can help to identify the underlying reasons for a crisis and thus to treat both the reasons and the symptoms Earlier in the chapter, clinical issues such as injuries, overtraining, neuroses, psychosomatic illnesses, alcohol and drug abuse, and criminal behaviors were mentioned among the costs of a failure to cope with crisis transitions (Stambulova, 1994) Reports on clinical issues in applied sport psychology (eg, Andersen, 2001; Barney & Andersen, 2000; Cogan, 2000; Eyal, 2001; Petrie & Sherman, 2000) give a more comprehensive picture of.

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Thus, from a mathematical point of view, there is generally the need for four measurements, but only three time measurements in the case of terrestrial positioning Unfortunately, this is not the end of the story, as making time measurements requires very good synchronization between the various players, satellites and receiver, in order to be accurate The measurement of the ight time of a signal from a satellite to the receiver requires two variables: the time the signal was transmitted (the time at which it leaves the satellite) and the bias between the satellite clock and that of the receiver The GNSS considered that managing the sending time is the role of the ground controlling segment of the constellations Thus, this point is in fact part of the de nition of the system.

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This hypothesis has two parts: (a) Over and above the effects of worry, bene ts is expected to have a positive linear relationship with intention, and (b) over and above the effects of bene ts, worry is also expected to have a positive linear relationship with intention We specify the two-predictor regression equation Y = b0 + bY 12 BENEFIT + bY 21 WORRY As shown in Table 193, Panel C, when we estimate this equation, we nd Y = 244 + 040 BENEFIT 007 WORRY Once again, the intercept is the predicted value of intention when both bene ts and worry = 0, not an interpretable value The coef cient bY12 represents the linear effect of bene ts on intention when worry is held constant The coef cient bY2.

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However, the so-called clock bias of the receiver is a real dif culty to overcome, as there is the need for very precise local synchronization17 Telecommunication systems have this same dif culty in order to recognize the messages sent by a transmitter, but not with the same accuracy, as the order of a fraction of a microsecond is enough In telecommunications, synchronization is commonly achieved through the use of speci c bits sent over the transmission channel, before the transmission of real data This is possible because the time synchronization thus achieved is of the order of the channel bandwidth, around 100 ns (typically 10 MHz) or 1 ms (typically 1 MHz).

For positioning purposes, the same technique would lead to a bandwidth that was clearly not available18 for 1 ns synchronization, In a global positioning system, one has the good fortune that the receiver clock bias is identical for all measurements, T1 through T4, for all the satellite signals, as long as these measurements are made at the same time In such a case, which is typical for modern receivers, which normally have 12 20 parallel channels for simultaneous measurements, the clock bias in fact includes all the common bias to all the signals Thus, there is a new unknown of the positioning problem, which is essentially to determine the three space variables de ning any location: x, y, and z in a Cartesian referential Thus, the solution vector of the GNSS positioning is made up of four coordinates: x, y, z, and t.

1 represents the linear effect of worry on intention when bene ts is held constant Comparing this result with the results of the two separate one-predictor regressions, we see that the slope for bene ts hardly changes from the one-predictor to the two-predictor model (slope = 039 and 040, respectively) In contrast, the slope for worry decreases markedly (slope = 021 and 007, respectively) and no longer even approaches statistical signi cance To understand the change in results for worry, recall that the one predictor regression estimates the overall linear effect of worry on intention ignoring the effects of any other variables The two-predictor regression describes the conditional relationship between worry and intention when the value of bene ts is held constant.

Before going ahead with how to solve this problem, let us come back to the most important dif culty of positioning: errors For this chapter, we shall deal only with the effect of errors on the measurements used in the navigation solution (and not the physical effects or the eventual corrections)..

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