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Bspike end = baseRTT + max RTT baseRTT where = 0 4 and = 0 05 in TCPW. A loss is considered to be due to transmission error only if TCPW is not in the spike state and RE baseRTT < re_thresh w, where re_thresh is a parameter that controls sensitivity. Figure 8.10 shows that, of the loss-based TCP protocols, Westwood indeed has the best loss recovery performance.

Roloff, M E, & Johnson, K L (2002) Serial arguing over the relational life course: Antecedents and consequences In A L Vangelisti, H T Reis, & M A Fitzpatrick (Eds), Stability and change in relationships (pp 107 128) Cambridge, England Cambridge University Press Rowe, C L, & Liddle, H A (2003) Substance abuse Journal of Marital and Family Therapy, 29, 97 120 Rusbult, C E, Olsen, N, Davis, J L, & Hannon, P A (2001) Commitment and relationship maintenance mechanisms In J H Harvey & A Wenzel (Eds), Close romantic relationships: Maintenance and enhancement (pp 87 114) Mahwah, NJ: Erlbaum Sahlstein, E M, & Baxter, L A (2001) Improvising commitment in close relationships: A relational dialectics perspective In J H Harvey & A Wenzel (Eds), Close romantic relationships: Maintenance and enhancement (pp 115 132) Mahwah, NJ: Erlbaum Sanford, K (2003).

In order to do this, you need to add custom handlers for the built-in methods trackwheelClick() and trackwheelRoll()..

The basic principle is shown in Figure 2.22. A part or even the complete text of the document is passed into a

Problem-solving conversations in marriage: Does it matter what topics couples discuss Personal Relationships, 10, 97 112 Santisteban, D A, Muir-Malcolm, J A, Mitrani, V B, & Szapocznik, J (2002) Integrating the study of ethnic culture and family psychology intervention science In H A Liddle, D A Santisteban, R F Levant, & J H Bray (Eds), Family psychology: Science-based interventions (pp 331 352) Washington, DC: American Psychological Association Scott, R L, & Cordova, J V (2002) The influence of adult attachment styles on the association between marital adjustment and depressive symptoms Journal of Family Psychology, 16, 199 208 Sexton, T L, Alexander, J F, & Mease, A L (2004) Levels of evidence for the models and mechanisms of therapeutic change in family and couple therapy In M J Lambert (Ed), Bergin and Garfield s handbook of psychotherapy and behavior change (5th ed.

2

, pp 590 646) Hoboken, NJ: Wiley Shadish, W R, & Baldwin, S A (2003) Meta-analysis of MFT interventions Journal of Marital and Family Therapy, 29, 547 570 Shadish, W R, Montgomery, L, Wilson, P, Wilson, M, Bright, I, & Okwumabua, T (1993) The effects of family and marital psychotherapies: A meta-analysis Journal of Consulting and Clinical Psychology, 61, 992 1002 Silliman, B, Stanley, S, Coffin, W, Markman, H J, & Jordan, P L (2002) Preventative interventions for couples In H A Liddle, D A Santisteban, R F Levant, & J H Bray (Eds), Family psychology: Science-based interventions (pp 123 146) Washington, DC: American Psychological Association Simpson, J A, Ickes, W, & Ori a, M (2001) Empathic accuracy and preemptive relationship maintenance In J H Harvey & A Wenzel (Eds.

3 Small deviations from the theoretical value are due to the random sampling used to generate a database of cases from the graphical model in Figure 10.3.

), Close romantic relationships: Maintenance and enhancement (pp 27 46) Mahwah, NJ: Erlbaum Sprecher, S (2002) Sexual satisfaction in premarital relationships: Associations with satisfaction, love, commitment, and stability Journal of Sex Research, 2002, 190 197..

Likelihood functions are similar to probability density functions, except that their integrals are not constrained to equal unity, or even required to be nite. They are useful for comparing relative likelihoods and for nding the value of the unknown independent variable x at which the likelihood function achieves its maximum, as illustrated in Fig. 7.1. 7.2.2.1 Gaussian Likelihood Functions have the form Gaussian likelihood functions

We convert each MGF on the right-hand side of (3.3) to a density, considering the cases 2 0 > 1 , 2 0 < 1 , and 2 0 = 1 separately. For the case 2 0 > 1 , we have fT (t) = 2 0 1 1 e 1 t (2 0 )e 2 0 t 2 0 1 2 0 1 2 0 1 (e 1 t e 2 0 t ) = 2 0 1 for t > 0, 0 > 0, 1 > 0, 2 0 > 1 . Similarly, for the case 2 0 < 1 , we have fT (t) = 1 2 0 (2 0 )e 2 0 t 1 e 1 t 1 2 0 1 2 0 2 0 1 (e 2 0 t e 1 t ) = 1 2 0 for t > 0, 0 > 0, 1 > 0, 2 0 < 1 .